modelId
stringlengths 4
122
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
74.7M
| likes
int64 0
9.67k
| library_name
stringlengths 2
84
⌀ | tags
list | pipeline_tag
stringlengths 5
30
⌀ | createdAt
timestamp[us, tz=UTC] | card
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| embedding
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|---|---|---|---|---|---|---|---|---|---|---|
ADISH007/Aws_donut_10k_incremental_1_Epoch_14
|
ADISH007
| 2023-12-13T23:41:04Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"vision-encoder-decoder",
"endpoints_compatible",
"region:us"
] | null | 2023-12-13T23:40:44Z |
Entry not found
|
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nhantruongcse/mymodel_LORA_base_10k_2e5_5epoch_batch16_T4
|
nhantruongcse
| 2023-12-14T00:25:23Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:41:15Z |
Entry not found
|
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PSYCHOSIS/asasdasdadsasd
|
PSYCHOSIS
| 2023-12-13T23:44:43Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:43:59Z |
Entry not found
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AndreMitri/icenptiontime_instrument_classification
|
AndreMitri
| 2023-12-13T23:44:30Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:44:30Z |
Entry not found
|
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EagleCAS/lstm_text_classifier
|
EagleCAS
| 2023-12-13T23:46:08Z | 0 | 0 | null |
[
"license:mit",
"region:us"
] | null | 2023-12-13T23:45:26Z |
---
license: mit
---
|
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] |
oostapeno/rsgd_20phi_from_nt_full_1B_repl_finegrained_poly_router_dir_lora_sim
|
oostapeno
| 2023-12-16T10:07:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:51:58Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| super_glue_rte_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| quartz_use_info_from_paragraph_question_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| web_questions_potential_correct_answer_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| glue_qqp_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| quail_description_context_question_answer_id_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| ag_news_subset_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| cos_e_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| math_dataset_algebra__linear_1d_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| yelp_polarity_reviews_0_2_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| anli_r1_0_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| wiki_bio_guess_person_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| race_high_Write_a_multi_choice_question_options_given__v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
Last updated on: 2023-12-16 10:07:10+00:00
|
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oostapeno/rsgd_20phi_from_nt_full_1B_repl_coarsegrained_poly_router_dir_lora_sim
|
oostapeno
| 2023-12-16T09:13:28Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:51:59Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| trivia_qa_rc_1_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| quail_description_context_question_answer_id_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| math_dataset_algebra__linear_1d_1_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| quartz_use_info_from_paragraph_question_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| cos_e_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| glue_stsb_2_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| anli_r1_0_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| wiki_bio_guess_person_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| race_high_Write_a_multi_choice_question_options_given__v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| web_questions_potential_correct_answer_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| glue_qqp_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| super_glue_rte_1_0_2_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-16 09:13:17+00:00
|
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] |
oostapeno/rsgd_20phi_from_nt_full_1B_repl_coarsegrained_poly_router_dir_none
|
oostapeno
| 2023-12-17T04:25:15Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:52:02Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| wiki_bio_guess_person_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| glue_stsb_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| app_reviews_generate_review_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| social_i_qa_Generate_the_question_from_the_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| quail_description_context_question_answer_id_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| web_questions_potential_correct_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| glue_qqp_2_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| math_dataset_algebra__linear_1d_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| cos_e_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| race_high_Write_a_multi_choice_question_options_given__v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| ag_news_subset_1_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| quartz_use_info_from_paragraph_question_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| super_glue_rte_1_0_2_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-17 04:25:06+00:00
|
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oostapeno/rsgd_20phi_from_nt_full_1B_repl_finegrained_poly_router_dir_lib_embeddings
|
oostapeno
| 2023-12-16T17:03:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:52:08Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| app_reviews_generate_review_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| wiki_bio_guess_person_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| yelp_polarity_reviews_0_2_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| glue_qqp_2_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| quartz_use_info_from_paragraph_question_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| quail_description_context_question_answer_id_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| math_dataset_algebra__linear_1d_1_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| race_high_Write_a_multi_choice_question_options_given__v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| ag_news_subset_1_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| web_questions_potential_correct_answer_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| kilt_tasks_hotpotqa_combining_facts_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| super_glue_rte_1_0_2_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-16 17:03:28+00:00
|
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oostapeno/rsgd_20phi_from_nt_full_1B_repl_coarsegrained_poly_router_dir_lib_embeddings
|
oostapeno
| 2023-12-16T16:55:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:52:22Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| super_glue_multirc_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| glue_qqp_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| wiki_bio_guess_person_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| quail_description_context_question_answer_id_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| web_questions_potential_correct_answer_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| math_dataset_algebra__linear_1d_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| quartz_use_info_from_paragraph_question_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| cos_e_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| race_high_Write_a_multi_choice_question_options_given__v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| super_glue_rte_1_0_2_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-16 16:55:29+00:00
|
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] |
star23/baller10
|
star23
| 2023-12-13T23:53:42Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-13T23:52:23Z |
NO DWNLD
|
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] |
oostapeno/rsgd_20phi_from_nt_full_1B_repl_finegrained_poly_router_dir_none
|
oostapeno
| 2023-12-17T04:41:10Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:52:23Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| trivia_qa_rc_1_1_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_qqp_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| glue_stsb_2_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| super_glue_rte_1_0_2_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| yelp_polarity_reviews_0_2_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| app_reviews_generate_review_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| web_questions_potential_correct_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| math_dataset_algebra__linear_1d_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| cos_e_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| super_glue_multirc_1_0_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| anli_r1_0_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| wiki_bio_guess_person_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| race_high_Write_a_multi_choice_question_options_given__v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| ag_news_subset_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
Last updated on: 2023-12-17 04:41:01+00:00
|
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oostapeno/rsgd_20phi_from_nt_1B_repl_finegrained_poly_router_dir_lib_embeddings
|
oostapeno
| 2023-12-16T12:38:17Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:03Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| race_high_Write_a_multi_choice_question_options_given__v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| super_glue_rte_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| super_glue_multirc_1_0_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| glue_stsb_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| ag_news_subset_1_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| cos_e_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| web_questions_potential_correct_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| anli_r1_0_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| app_reviews_generate_review_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| math_dataset_algebra__linear_1d_1_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| yelp_polarity_reviews_0_2_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| trivia_qa_rc_1_1_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| wiki_bio_guess_person_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| glue_qqp_2_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
Last updated on: 2023-12-16 12:38:07+00:00
|
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] |
oostapeno/rsgd_20phi_from_nt_1B_repl_finegrained_poly_router_dir_none
|
oostapeno
| 2023-12-16T19:39:15Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:17Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| trivia_qa_rc_1_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| race_high_Write_a_multi_choice_question_options_given__v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| glue_qqp_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| super_glue_rte_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| yelp_polarity_reviews_0_2_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| glue_stsb_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| ag_news_subset_1_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| wiki_bio_guess_person_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| math_dataset_algebra__linear_1d_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| cos_e_v1_11_explain_why_human_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| web_questions_potential_correct_answer | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
Last updated on: 2023-12-16 19:39:11+00:00
|
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] |
oostapeno/rsgd_20phi_from_nt_1B_repl_finegrained_poly_router_dir_lora_sim
|
oostapeno
| 2023-12-16T05:24:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:27Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| race_high_Write_a_multi_choice_question_options_given__v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| glue_qqp_2_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| ag_news_subset_1_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| math_dataset_algebra__linear_1d_1_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| web_questions_potential_correct_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| wiki_bio_guess_person_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| trivia_qa_rc_1_1_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| anli_r1_0_1_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| super_glue_rte_1_0_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-16 05:24:08+00:00
|
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oostapeno/rsgd_20phi_from_nt_1B_repl_coarsegrained_poly_router_dir_lora_sim
|
oostapeno
| 2023-12-16T05:19:04Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:32Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| race_high_Write_a_multi_choice_question_options_given__v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| super_glue_rte_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| app_reviews_generate_review_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| glue_qqp_2_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| glue_stsb_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| ag_news_subset_1_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| trivia_qa_rc_1_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| math_dataset_algebra__linear_1d_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| web_questions_potential_correct_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| quartz_use_info_from_paragraph_question_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
Last updated on: 2023-12-16 05:19:04+00:00
|
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] |
oostapeno/rsgd_20phi_from_nt_1B_repl_coarsegrained_poly_router_dir_none
|
oostapeno
| 2023-12-16T14:20:33Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:36Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| race_high_Write_a_multi_choice_question_options_given__v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| super_glue_rte_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| quartz_use_info_from_paragraph_question_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| quail_description_context_question_answer_id_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| glue_qqp_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| math_dataset_algebra__linear_1d_1_0_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| glue_stsb_2_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| web_questions_potential_correct_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| app_reviews_generate_review_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| yelp_polarity_reviews_0_2_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
Last updated on: 2023-12-16 14:20:25+00:00
|
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oostapeno/rsgd_20phi_from_nt_1B_repl_coarsegrained_poly_router_dir_lib_embeddings
|
oostapeno
| 2023-12-16T11:02:37Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:53:59Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| race_high_Write_a_multi_choice_question_options_given__v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| app_reviews_generate_review_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| glue_qqp_2_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| glue_stsb_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| web_questions_potential_correct_answer_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| quartz_use_info_from_paragraph_question_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| yelp_polarity_reviews_0_2_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| super_glue_multirc_1_0_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| math_dataset_algebra__linear_1d_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| trivia_qa_rc_1_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| super_glue_rte_1_0_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-16 11:02:31+00:00
|
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] |
oostapeno/ft_20phi_no_transf_1B_repl
|
oostapeno
| 2023-12-15T08:13:43Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:54:37Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| glue_qqp_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| quartz_use_info_from_paragraph_question_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| yelp_polarity_reviews_0_2_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| super_glue_multirc_1_0_2_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| quail_description_context_question_answer_id_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| app_reviews_generate_review_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| social_i_qa_Generate_the_question_from_the_answer_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| anli_r1_0_1_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| cos_e_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| wiki_bio_guess_person_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| math_dataset_algebra__linear_1d_1_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| web_questions_potential_correct_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| trivia_qa_rc_1_1_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| race_high_Write_a_multi_choice_question_options_given__v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| kilt_tasks_hotpotqa_combining_facts_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| super_glue_rte_1_0_2_v5 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
Last updated on: 2023-12-15 08:13:35+00:00
|
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] |
AiresPucrs/Conv2d
|
AiresPucrs
| 2023-12-13T23:54:49Z | 0 | 0 |
keras
|
[
"keras",
"Image Classification",
"region:us"
] | null | 2023-12-13T23:54:46Z |
---
library_name: keras
tags:
- Image Classification
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | None |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 0.0010000000474974513 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
## Model Plot
<details>
<summary>View Model Plot</summary>
</details>
|
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] |
oostapeno/ng_20phi_from_nt_1B_repl_lora_sim_replace
|
oostapeno
| 2023-12-16T01:58:15Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:54:51Z |
Number of experts present in the library: 21
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| wiki_hop_original_choose_best_object_affirmative_2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| race_high_Write_a_multi_choice_question_options_given__v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| super_glue_multirc_1_0_2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| glue_qqp_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| super_glue_rte_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| trivia_qa_rc_1_1_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| quail_description_context_question_answer_id_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| anli_r1_0_1_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| app_reviews_generate_review_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| social_i_qa_Generate_the_question_from_the_answer | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| yelp_polarity_reviews_0_2_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| math_dataset_algebra__linear_1d_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| cos_e_v1_11_explain_why_human_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| glue_stsb_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| web_questions_potential_correct_answer | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
Last updated on: 2023-12-16 01:55:44+00:00
|
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] |
oostapeno/ng_20phi_from_nt_1B_repl_none_replace
|
oostapeno
| 2023-12-17T16:34:41Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:54:55Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| super_glue_multirc_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| race_high_Write_a_multi_choice_question_options_given__v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| glue_qqp_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| super_glue_rte_1_0_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| glue_stsb_2_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| math_dataset_algebra__linear_1d_1_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
| yelp_polarity_reviews_0_2_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| app_reviews_generate_review_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| quail_description_context_question_answer_id | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| web_questions_potential_correct_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| cos_e_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| trivia_qa_rc_1_1_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| anli_r1_0_1_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
Last updated on: 2023-12-17 16:34:35+00:00
|
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] |
oostapeno/ng_20phi_from_nt_1B_repl_lib_embeddings_replace
|
oostapeno
| 2023-12-17T22:14:29Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:55:44Z |
Number of experts present in the library: 20
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| super_glue_multirc_1_0_2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_multirc_1_0_2 | lora |
| glue_qqp_2_0_0 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_qqp_2_0_0 | lora |
| yelp_polarity_reviews_0_2_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/yelp_polarity_reviews_0_2_0 | lora |
| anli_r1_0_1_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/anli_r1_0_1_0 | lora |
| wiki_bio_guess_person | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_bio_guess_person | lora |
| app_reviews_generate_review_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/app_reviews_generate_review | lora |
| wiqa_what_might_be_the_last_step_of_the_process | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiqa_what_might_be_the_last_step_of_the_process | lora |
| super_glue_rte_1_0_2_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/super_glue_rte_1_0_2 | lora |
| race_high_Write_a_multi_choice_question_options_given__v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/race_high_Write_a_multi_choice_question_options_given_ | lora |
| cos_e_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/cos_e_v1_11_explain_why_human | lora |
| ag_news_subset_1_0_0_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/ag_news_subset_1_0_0 | lora |
| wiki_hop_original_choose_best_object_affirmative_2_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/wiki_hop_original_choose_best_object_affirmative_2 | lora |
| math_dataset_algebra__linear_1d_1_0_0_v2 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/math_dataset_algebra__linear_1d_1_0_0 | lora |
| quail_description_context_question_answer_id | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quail_description_context_question_answer_id | lora |
| kilt_tasks_hotpotqa_combining_facts | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/kilt_tasks_hotpotqa_combining_facts | lora |
| web_questions_potential_correct_answer | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/web_questions_potential_correct_answer | lora |
| quartz_use_info_from_paragraph_question | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/quartz_use_info_from_paragraph_question | lora |
| trivia_qa_rc_1_1_0_v3 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/trivia_qa_rc_1_1_0 | lora |
| glue_stsb_2_0_0_v4 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/glue_stsb_2_0_0 | lora |
| social_i_qa_Generate_the_question_from_the_answer_v1 | EleutherAI/gpt-neo-1.3B | sordonia/flan-10k-flat/social_i_qa_Generate_the_question_from_the_answer | lora |
Last updated on: 2023-12-17 22:14:22+00:00
|
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alirezaomneky/sd-background-model
|
alirezaomneky
| 2023-12-13T23:56:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:56:13Z |
Entry not found
|
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] |
Carlosgg14/zoro
|
Carlosgg14
| 2023-12-13T23:56:56Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-13T23:56:24Z |
---
license: openrail
---
|
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Sam845/Scott_Pilgrim_Latin_Spanish
|
Sam845
| 2023-12-14T00:08:28Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-13T23:58:34Z |
Entry not found
|
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] |
ktrinh38/fashion-txt2img
|
ktrinh38
| 2023-12-17T05:41:16Z | 0 | 0 | null |
[
"tensorboard",
"dataset:ktrinh38/fashion-dataset",
"region:us"
] | null | 2023-12-14T00:05:38Z |
---
datasets:
- ktrinh38/fashion-dataset
---
### [Stable Diffusion with Text Conditioning](https://github.com/CompVis/latent-diffusion), fine tuned on fashion set
Checkpoints for now :D
|
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] |
jp4prezi/julain
|
jp4prezi
| 2023-12-14T00:05:53Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T00:05:53Z |
---
license: apache-2.0
---
|
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] |
jp4prezi/Justin
|
jp4prezi
| 2023-12-14T00:06:29Z | 0 | 0 | null |
[
"license:mit",
"region:us"
] | null | 2023-12-14T00:06:29Z |
---
license: mit
---
|
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Kalva014/hair_detection
|
Kalva014
| 2023-12-14T00:06:35Z | 0 | 0 | null |
[
"license:mit",
"region:us"
] | null | 2023-12-14T00:06:35Z |
Invalid username or password.
|
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] |
aiberry/llama_energy_causallm
|
aiberry
| 2023-12-15T00:09:30Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T00:08:44Z |
Entry not found
|
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jp4prezi/mit
|
jp4prezi
| 2023-12-14T00:08:48Z | 0 | 0 | null |
[
"license:mit",
"region:us"
] | null | 2023-12-14T00:08:48Z |
---
license: mit
---
|
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] |
vinicm/modelocarlos
|
vinicm
| 2023-12-14T00:11:24Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T00:11:04Z |
---
license: openrail
---
|
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] |
stvhuang/rcr-run-v57whqm7-61968-master-0_20231212T103333-ep04
|
stvhuang
| 2023-12-14T00:15:04Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"deberta-v2",
"feature-extraction",
"endpoints_compatible",
"region:us"
] |
feature-extraction
| 2023-12-14T00:13:52Z |
Entry not found
|
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accgatsu/luanvoznome
|
accgatsu
| 2023-12-14T00:14:53Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:14:09Z |
Entry not found
|
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] |
SilasModder/LimitlessVision03
|
SilasModder
| 2023-12-14T00:17:47Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T00:16:25Z |
---
license: apache-2.0
---
|
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TexX/Nobara
|
TexX
| 2023-12-14T00:29:26Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T00:17:46Z |
---
license: openrail
---
|
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] |
cwoloc/flowerLoraTest
|
cwoloc
| 2023-12-14T00:22:29Z | 0 | 0 |
diffusers
|
[
"diffusers",
"license:cc-by-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2023-12-14T00:18:28Z |
---
license: cc-by-2.0
---
|
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amir4m/test
|
amir4m
| 2023-12-14T00:18:44Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:18:44Z |
Entry not found
|
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MBARI-org/megabenthic
|
MBARI-org
| 2023-12-14T00:24:18Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T00:19:27Z |
---
license: apache-2.0
---
|
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namkyeong/whisper_13
|
namkyeong
| 2023-12-14T06:36:36Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:20:55Z |
Entry not found
|
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] |
hkivancoral/smids_5x_beit_base_adamax_001_fold3
|
hkivancoral
| 2023-12-14T01:40:03Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"beit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/beit-base-patch16-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
image-classification
| 2023-12-14T00:21:00Z |
---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: smids_5x_beit_base_adamax_001_fold3
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.835
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# smids_5x_beit_base_adamax_001_fold3
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1469
- Accuracy: 0.835
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8795 | 1.0 | 375 | 1.0709 | 0.465 |
| 0.805 | 2.0 | 750 | 0.8267 | 0.54 |
| 0.7578 | 3.0 | 1125 | 0.8592 | 0.5683 |
| 1.0023 | 4.0 | 1500 | 0.7631 | 0.6317 |
| 0.7622 | 5.0 | 1875 | 0.6997 | 0.685 |
| 0.5711 | 6.0 | 2250 | 0.5607 | 0.76 |
| 0.5125 | 7.0 | 2625 | 0.4986 | 0.8067 |
| 0.5239 | 8.0 | 3000 | 0.4781 | 0.8 |
| 0.4547 | 9.0 | 3375 | 0.6145 | 0.77 |
| 0.4777 | 10.0 | 3750 | 0.4360 | 0.8267 |
| 0.3636 | 11.0 | 4125 | 0.4074 | 0.8417 |
| 0.4518 | 12.0 | 4500 | 0.4481 | 0.8317 |
| 0.3493 | 13.0 | 4875 | 0.5307 | 0.805 |
| 0.3009 | 14.0 | 5250 | 0.4470 | 0.835 |
| 0.2927 | 15.0 | 5625 | 0.4302 | 0.8383 |
| 0.233 | 16.0 | 6000 | 0.4642 | 0.835 |
| 0.3176 | 17.0 | 6375 | 0.4522 | 0.835 |
| 0.2704 | 18.0 | 6750 | 0.4353 | 0.8317 |
| 0.2544 | 19.0 | 7125 | 0.4509 | 0.835 |
| 0.2122 | 20.0 | 7500 | 0.5169 | 0.8183 |
| 0.135 | 21.0 | 7875 | 0.5912 | 0.82 |
| 0.1564 | 22.0 | 8250 | 0.4970 | 0.8383 |
| 0.2284 | 23.0 | 8625 | 0.5113 | 0.8217 |
| 0.1624 | 24.0 | 9000 | 0.6295 | 0.825 |
| 0.165 | 25.0 | 9375 | 0.5951 | 0.81 |
| 0.0933 | 26.0 | 9750 | 0.6337 | 0.8233 |
| 0.1787 | 27.0 | 10125 | 0.5739 | 0.8267 |
| 0.0977 | 28.0 | 10500 | 0.6837 | 0.8283 |
| 0.0607 | 29.0 | 10875 | 0.7084 | 0.8467 |
| 0.0515 | 30.0 | 11250 | 0.8096 | 0.8167 |
| 0.0587 | 31.0 | 11625 | 0.8299 | 0.8367 |
| 0.1097 | 32.0 | 12000 | 0.7487 | 0.8333 |
| 0.0784 | 33.0 | 12375 | 0.7788 | 0.815 |
| 0.0505 | 34.0 | 12750 | 0.8520 | 0.8417 |
| 0.0243 | 35.0 | 13125 | 0.8865 | 0.8233 |
| 0.0517 | 36.0 | 13500 | 0.8229 | 0.83 |
| 0.0484 | 37.0 | 13875 | 0.9870 | 0.8367 |
| 0.0198 | 38.0 | 14250 | 0.9718 | 0.825 |
| 0.0203 | 39.0 | 14625 | 0.8284 | 0.8467 |
| 0.0211 | 40.0 | 15000 | 0.9506 | 0.8333 |
| 0.0035 | 41.0 | 15375 | 0.9695 | 0.8367 |
| 0.0109 | 42.0 | 15750 | 1.1050 | 0.835 |
| 0.0054 | 43.0 | 16125 | 1.1815 | 0.8317 |
| 0.0043 | 44.0 | 16500 | 1.0406 | 0.8433 |
| 0.0242 | 45.0 | 16875 | 1.1360 | 0.8417 |
| 0.0127 | 46.0 | 17250 | 1.1706 | 0.8317 |
| 0.0068 | 47.0 | 17625 | 1.1596 | 0.8333 |
| 0.0108 | 48.0 | 18000 | 1.1303 | 0.8333 |
| 0.0029 | 49.0 | 18375 | 1.1332 | 0.8267 |
| 0.0113 | 50.0 | 18750 | 1.1469 | 0.835 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
|
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] |
star23/baller11
|
star23
| 2023-12-14T00:22:19Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T00:21:37Z |
no dwlnd
|
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arpachat/output-fashion-2
|
arpachat
| 2023-12-14T00:25:49Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:25:49Z |
Entry not found
|
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] |
PandaUniverz/Drizzle_Wasabeatz
|
PandaUniverz
| 2023-12-14T00:30:03Z | 0 | 0 | null |
[
"license:openrail++",
"region:us"
] | null | 2023-12-14T00:26:41Z |
---
license: openrail++
---
|
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RootReturn0/SER
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RootReturn0
| 2023-12-14T00:29:00Z | 0 | 0 | null |
[
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Entry not found
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EmmaGthn/results_lora_40_20000_bias
|
EmmaGthn
| 2023-12-14T05:44:28Z | 0 | 0 | null |
[
"tensorboard",
"safetensors",
"region:us"
] | null | 2023-12-14T00:32:30Z |
Entry not found
|
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] |
littlechi118/mistral-7b
|
littlechi118
| 2023-12-14T00:36:06Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T00:36:06Z |
---
license: apache-2.0
---
|
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kimjisoobkkai/CADRES_YT_BR_250_EPOCHS
|
kimjisoobkkai
| 2023-12-14T00:47:47Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:46:43Z |
Entry not found
|
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WmVernon/GOTY
|
WmVernon
| 2023-12-14T00:48:26Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T00:48:26Z |
---
license: apache-2.0
---
|
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kimjisoobkkai/ATHOS_YT_BR_250_EPOCHS
|
kimjisoobkkai
| 2023-12-14T00:52:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:50:11Z |
Entry not found
|
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] |
GraydientPlatformAPI/no-esc
|
GraydientPlatformAPI
| 2023-12-14T00:52:04Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T00:52:04Z |
---
license: openrail
---
|
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] |
migueldeguzmandev/gpt2xl-stamps_paperclip_maximizer_v2
|
migueldeguzmandev
| 2023-12-14T01:04:31Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T00:54:23Z |
Entry not found
|
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jp4prezi/faith
|
jp4prezi
| 2023-12-14T00:57:11Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T00:57:11Z |
---
license: openrail
---
|
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DrM/my_awesome_billsum_model
|
DrM
| 2023-12-14T00:57:11Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T00:57:11Z |
Entry not found
|
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ManifoldRG/NEKO
|
ManifoldRG
| 2023-12-14T01:00:03Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:00:03Z |
Entry not found
|
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arpachat/stable-diffusion-v1-2-fashion-400
|
arpachat
| 2023-12-14T01:01:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:01:32Z |
Entry not found
|
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spicyplantain/racjstadif
|
spicyplantain
| 2023-12-14T01:10:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:10:13Z |
Entry not found
|
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] |
migueldeguzmandev/gpt2xl-stamps_paperclip_maximizer_v3
|
migueldeguzmandev
| 2023-12-14T01:18:13Z | 0 | 0 |
transformers
|
[
"transformers",
"gpt2",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T01:13:12Z |
Entry not found
|
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] |
Realgon/N_bert_imdb_padding80model
|
Realgon
| 2023-12-14T03:46:30Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"base_model:bert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2023-12-14T01:21:25Z |
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: N_bert_imdb_padding80model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.93712
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# N_bert_imdb_padding80model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6996
- Accuracy: 0.9371
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2198 | 1.0 | 1563 | 0.2296 | 0.9239 |
| 0.1582 | 2.0 | 3126 | 0.2158 | 0.9298 |
| 0.0896 | 3.0 | 4689 | 0.3067 | 0.9335 |
| 0.0635 | 4.0 | 6252 | 0.3594 | 0.9304 |
| 0.0344 | 5.0 | 7815 | 0.3923 | 0.9299 |
| 0.0315 | 6.0 | 9378 | 0.4625 | 0.9343 |
| 0.0196 | 7.0 | 10941 | 0.4629 | 0.9338 |
| 0.0205 | 8.0 | 12504 | 0.5247 | 0.9252 |
| 0.0161 | 9.0 | 14067 | 0.4549 | 0.9326 |
| 0.0105 | 10.0 | 15630 | 0.4703 | 0.9323 |
| 0.0049 | 11.0 | 17193 | 0.6050 | 0.9286 |
| 0.0088 | 12.0 | 18756 | 0.5788 | 0.9353 |
| 0.0043 | 13.0 | 20319 | 0.5495 | 0.9348 |
| 0.0062 | 14.0 | 21882 | 0.6886 | 0.9307 |
| 0.0019 | 15.0 | 23445 | 0.6479 | 0.9348 |
| 0.0035 | 16.0 | 25008 | 0.6449 | 0.9360 |
| 0.0008 | 17.0 | 26571 | 0.7024 | 0.9349 |
| 0.0003 | 18.0 | 28134 | 0.7011 | 0.9370 |
| 0.001 | 19.0 | 29697 | 0.6921 | 0.9372 |
| 0.0 | 20.0 | 31260 | 0.6996 | 0.9371 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|
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arpachat/small-stable-diffusion-v0-fashion-1000
|
arpachat
| 2023-12-14T01:21:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:21:32Z |
Entry not found
|
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] |
TimelyFormulation74/Llama-2-7b-hf-fine-tuned
|
TimelyFormulation74
| 2023-12-14T01:44:02Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T01:25:00Z |
Entry not found
|
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] |
wangjianyang/bert_finetuning_test
|
wangjianyang
| 2023-12-14T01:32:42Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"bert",
"fill-mask",
"license:unknown",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
fill-mask
| 2023-12-14T01:26:04Z |
---
license: unknown
---
|
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] |
star23/baller12
|
star23
| 2023-12-14T01:26:59Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T01:26:31Z |
no download
|
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peterjacksonsxx9/GanzNeuLivvy
|
peterjacksonsxx9
| 2023-12-14T01:33:02Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:32:24Z |
Entry not found
|
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Vital65/Michael
|
Vital65
| 2023-12-14T01:39:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:39:45Z |
Entry not found
|
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hkivancoral/smids_5x_beit_base_adamax_001_fold4
|
hkivancoral
| 2023-12-14T02:29:38Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"beit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/beit-base-patch16-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
image-classification
| 2023-12-14T01:40:53Z |
---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: smids_5x_beit_base_adamax_001_fold4
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.7916666666666666
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# smids_5x_beit_base_adamax_001_fold4
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9816
- Accuracy: 0.7917
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8866 | 1.0 | 375 | 0.8458 | 0.5233 |
| 0.8299 | 2.0 | 750 | 0.7752 | 0.57 |
| 0.7493 | 3.0 | 1125 | 0.7658 | 0.615 |
| 0.7146 | 4.0 | 1500 | 0.7493 | 0.6417 |
| 0.7017 | 5.0 | 1875 | 0.7203 | 0.6817 |
| 0.763 | 6.0 | 2250 | 0.6999 | 0.68 |
| 0.6756 | 7.0 | 2625 | 0.6915 | 0.6967 |
| 0.7133 | 8.0 | 3000 | 0.7086 | 0.6683 |
| 0.6524 | 9.0 | 3375 | 0.6683 | 0.6883 |
| 0.7431 | 10.0 | 3750 | 0.6664 | 0.7017 |
| 0.6733 | 11.0 | 4125 | 0.6953 | 0.675 |
| 0.6611 | 12.0 | 4500 | 0.6840 | 0.6933 |
| 0.6809 | 13.0 | 4875 | 0.6889 | 0.6717 |
| 0.6678 | 14.0 | 5250 | 0.6820 | 0.6917 |
| 0.6888 | 15.0 | 5625 | 0.6381 | 0.7083 |
| 0.6174 | 16.0 | 6000 | 0.6105 | 0.7417 |
| 0.6389 | 17.0 | 6375 | 0.6744 | 0.7033 |
| 0.6613 | 18.0 | 6750 | 0.6040 | 0.7417 |
| 0.6398 | 19.0 | 7125 | 0.6119 | 0.7317 |
| 0.6011 | 20.0 | 7500 | 0.5771 | 0.7517 |
| 0.5356 | 21.0 | 7875 | 0.6886 | 0.7033 |
| 0.5588 | 22.0 | 8250 | 0.6145 | 0.7433 |
| 0.5597 | 23.0 | 8625 | 0.6084 | 0.7383 |
| 0.5734 | 24.0 | 9000 | 0.5790 | 0.7633 |
| 0.5451 | 25.0 | 9375 | 0.5688 | 0.7567 |
| 0.5084 | 26.0 | 9750 | 0.5594 | 0.765 |
| 0.4925 | 27.0 | 10125 | 0.6035 | 0.7633 |
| 0.4449 | 28.0 | 10500 | 0.5736 | 0.7717 |
| 0.4935 | 29.0 | 10875 | 0.5611 | 0.76 |
| 0.518 | 30.0 | 11250 | 0.6001 | 0.75 |
| 0.5374 | 31.0 | 11625 | 0.5726 | 0.7867 |
| 0.4582 | 32.0 | 12000 | 0.5878 | 0.7717 |
| 0.4449 | 33.0 | 12375 | 0.6022 | 0.77 |
| 0.4991 | 34.0 | 12750 | 0.5950 | 0.7833 |
| 0.3652 | 35.0 | 13125 | 0.5638 | 0.8033 |
| 0.4263 | 36.0 | 13500 | 0.5959 | 0.7883 |
| 0.4604 | 37.0 | 13875 | 0.6072 | 0.8 |
| 0.4152 | 38.0 | 14250 | 0.6172 | 0.8033 |
| 0.3735 | 39.0 | 14625 | 0.6726 | 0.79 |
| 0.3648 | 40.0 | 15000 | 0.6751 | 0.7933 |
| 0.3489 | 41.0 | 15375 | 0.6954 | 0.7833 |
| 0.235 | 42.0 | 15750 | 0.7474 | 0.7767 |
| 0.2834 | 43.0 | 16125 | 0.7611 | 0.7933 |
| 0.2126 | 44.0 | 16500 | 0.7672 | 0.7917 |
| 0.2122 | 45.0 | 16875 | 0.8481 | 0.7683 |
| 0.1955 | 46.0 | 17250 | 0.8595 | 0.795 |
| 0.1764 | 47.0 | 17625 | 0.8929 | 0.7917 |
| 0.2086 | 48.0 | 18000 | 0.9496 | 0.79 |
| 0.175 | 49.0 | 18375 | 0.9722 | 0.7917 |
| 0.152 | 50.0 | 18750 | 0.9816 | 0.7917 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
|
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] |
Vital65/Michael2
|
Vital65
| 2023-12-14T01:43:04Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T01:42:10Z |
---
license: openrail
---
|
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lenguist/long-former-model
|
lenguist
| 2023-12-14T01:44:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:44:32Z |
Entry not found
|
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] |
emboy/Crystal_Combing
|
emboy
| 2023-12-14T01:47:10Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T01:47:10Z |
---
license: apache-2.0
---
|
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arunlokanatha/zephyr-7b-dpo-full
|
arunlokanatha
| 2023-12-14T01:48:57Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:48:57Z |
Entry not found
|
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lenguist/longformer-model
|
lenguist
| 2023-12-14T01:51:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T01:51:40Z |
Entry not found
|
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cmcmaster/gca_tab_ckpts
|
cmcmaster
| 2023-12-14T01:53:31Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:austin/mimic-pubmed-deberta-small",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2023-12-14T01:52:02Z |
---
base_model: austin/mimic-pubmed-deberta-small
tags:
- generated_from_trainer
model-index:
- name: gca_tab_ckpts
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gca_tab_ckpts
This model is a fine-tuned version of [austin/mimic-pubmed-deberta-small](https://huggingface.co/austin/mimic-pubmed-deberta-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0831
- F1 Adventitial inflammation: 0.4
- F1 Gca: 0.8889
- F1 Giant cells: 1.0
- F1 Intimal hyperplasia: 0.8
- Acc Adventitial inflammation: 0.9211
- Acc Gca: 0.9737
- Acc Giant cells: 1.0
- Acc Intimal hyperplasia: 0.9737
- Auc Adventitial inflammation: 0.9306
- Auc Gca: 0.9939
- Auc Giant cells: 1.0
- Auc Intimal hyperplasia: 0.9861
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Adventitial inflammation | F1 Gca | F1 Giant cells | F1 Intimal hyperplasia | Acc Adventitial inflammation | Acc Gca | Acc Giant cells | Acc Intimal hyperplasia | Auc Adventitial inflammation | Auc Gca | Auc Giant cells | Auc Intimal hyperplasia |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------:|:------:|:--------------:|:----------------------:|:----------------------------:|:-------:|:---------------:|:-----------------------:|:----------------------------:|:-------:|:---------------:|:-----------------------:|
| 0.5304 | 1.0 | 11 | 0.2758 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9474 | 0.8684 | 0.9211 | 0.9474 | 0.0417 | 0.4182 | 0.0952 | 0.9444 |
| 0.4395 | 2.0 | 22 | 0.2832 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9474 | 0.8684 | 0.9211 | 0.9474 | 0.9167 | 0.8909 | 0.9333 | 0.9167 |
| 0.4243 | 3.0 | 33 | 0.2308 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9474 | 0.8684 | 0.9211 | 0.9474 | 0.9167 | 0.9394 | 0.9810 | 0.9722 |
| 0.2879 | 4.0 | 44 | 0.1196 | 0.4 | 0.8889 | 0.8571 | 0.6667 | 0.9211 | 0.9737 | 0.9737 | 0.9474 | 0.9444 | 0.9939 | 1.0 | 0.9861 |
| 0.1956 | 5.0 | 55 | 0.0871 | 0.6667 | 1.0 | 0.8571 | 0.5714 | 0.9474 | 1.0 | 0.9737 | 0.9211 | 0.9583 | 1.0 | 1.0 | 1.0 |
| 0.2323 | 6.0 | 66 | 0.0961 | 0.4 | 0.9091 | 0.8571 | 0.5714 | 0.9211 | 0.9737 | 0.9737 | 0.9211 | 0.9444 | 1.0 | 1.0 | 1.0 |
| 0.1629 | 7.0 | 77 | 0.1099 | 0.4 | 1.0 | 1.0 | 0.8 | 0.9211 | 1.0 | 1.0 | 0.9737 | 0.9444 | 1.0 | 1.0 | 0.9722 |
| 0.1599 | 8.0 | 88 | 0.0819 | 0.4 | 0.7500 | 1.0 | 0.8 | 0.9211 | 0.9474 | 1.0 | 0.9737 | 0.9583 | 1.0 | 1.0 | 1.0 |
| 0.1491 | 9.0 | 99 | 0.0835 | 0.4 | 0.7500 | 1.0 | 0.8 | 0.9211 | 0.9474 | 1.0 | 0.9737 | 0.9444 | 1.0 | 1.0 | 0.9861 |
| 0.1284 | 10.0 | 110 | 0.0775 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9306 | 1.0 | 1.0 | 0.9722 |
| 0.1248 | 11.0 | 121 | 0.0782 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9306 | 1.0 | 1.0 | 0.9861 |
| 0.1209 | 12.0 | 132 | 0.0786 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9306 | 1.0 | 1.0 | 0.9861 |
| 0.1164 | 13.0 | 143 | 0.0810 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9167 | 0.9939 | 1.0 | 0.9861 |
| 0.1167 | 14.0 | 154 | 0.0813 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9306 | 0.9939 | 1.0 | 0.9722 |
| 0.1216 | 15.0 | 165 | 0.0831 | 0.4 | 0.8889 | 1.0 | 0.8 | 0.9211 | 0.9737 | 1.0 | 0.9737 | 0.9306 | 0.9939 | 1.0 | 0.9861 |
### Framework versions
- Transformers 4.36.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
|
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] |
migueldeguzmandev/non-RLFC-tuned-falcon-1b
|
migueldeguzmandev
| 2023-12-14T02:00:54Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"falcon",
"text-generation",
"custom_code",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] |
text-generation
| 2023-12-14T01:53:02Z |
Entry not found
|
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] |
Umbrellos/pablobackyardigans
|
Umbrellos
| 2023-12-14T02:02:16Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T02:01:36Z |
---
license: openrail
---
|
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] |
Umbrellos/gobbleygordmsm
|
Umbrellos
| 2023-12-14T02:04:13Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T02:03:23Z |
---
license: openrail
---
|
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BAAI/tokenize-anything
|
BAAI
| 2023-12-17T04:43:07Z | 0 | 1 | null |
[
"image-to-text",
"arxiv:2312.09128",
"license:apache-2.0",
"region:us"
] |
image-to-text
| 2023-12-14T02:06:05Z |
---
license: apache-2.0
pipeline_tag: image-to-text
---
<div align="center">
<h1>Tokenize Anything via Prompting</h1>
[Ting Pan](https://github.com/PhyscalX/)<sup>1,2*</sup>, [Lulu Tang](https://github.com/lulutang0608)<sup>2*</sup>, [Xinlong Wang](https://www.xloong.wang/)<sup>2¶</sup>, [Shiguang Shan](https://scholar.google.com/citations?user=Vkzd7MIAAAAJ&hl=en)<sup>1</sup>
<sup>1</sup>[ICT-CAS](http://english.ict.cas.cn/), <sup>2</sup>[BAAI](https://www.baai.ac.cn/english.html)<br>
<sup>*</sup> Equal Contribution, <sup>¶</sup>Project Lead
[[`Paper`](https://arxiv.org/pdf/2312.09128.pdf)] [[`🤗 Demo`](https://huggingface.co/spaces/BAAI/tokenize-anything)]
</div>
We present **T**okenize **A**nything via **P**rompting, a unified and promptable model capable of simultaneously segmenting, recognizing, and captioning arbitrary regions, with flexible visual prompts (point, box and sketch). The model is trained with exhaustive segmentation masks sourced from SA-1B, coupled with semantic priors from a pre-trained EVA-CLIP with 5 billion parameters.
## Installation
See [Github Page](https://github.com/baaivision/tokenize-anything).
## Models
### Model weights
Two versions of the model are available with different image encoders.
| Model | Description | MD5 | Weights |
| ----- | ------------| ----| ------ |
| **tap_vit_l** | ViT-L TAP model | 03f8ec | [🤗 HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_l_03f8ec.pkl) |
| **tap_vit_b** | ViT-B TAP model | b45cbf | [🤗 HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_b_b45cbf.pkl) |
### Concept weights
***Note***: You can generate these weights following the [Concept Guide](https://github.com/baaivision/tokenize-anything/blob/main/notebooks/concept.ipynb).
| Concept | Description | Weights |
| ------- | ------------| ------ |
| **Merged-2560** | Merged concepts | [🤗 HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/concepts/merged_2560.pkl) |
| **LVIS-1203** | LVIS concepts | [🤗 HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/concepts/lvis_1203.pkl) |
| **COCO-80** | COCO concepts | [🤗 HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/concepts/coco_80.pkl) |
## License
[Apache License 2.0](LICENSE)
## Citation
```
@article{pan2023tap,
title={Tokenize Anything via Prompting},
author={Pan, Ting and Tang, Lulu and Wang, Xinlong and Shan, Shiguang},
journal={arXiv preprint arXiv:2312.09128},
year={2023}
}
```
## Acknowledgement
We thank the repositories: [SAM](https://github.com/facebookresearch/segment-anything), [EVA](https://github.com/baaivision/EVA), [LLaMA](https://github.com/facebookresearch/llama), [FlashAttention](https://github.com/Dao-AILab/flash-attention), [Gradio](https://github.com/gradio-app/gradio), [Detectron2](https://github.com/facebookresearch/detectron2) and [CodeWithGPU](https://github.com/seetacloud/codewithgpu).
|
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] |
stvhuang/rcr-run-b9bhsr7n-62291-master-0_20231213T152412-ep00
|
stvhuang
| 2023-12-14T02:08:19Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"deberta-v2",
"feature-extraction",
"endpoints_compatible",
"region:us"
] |
feature-extraction
| 2023-12-14T02:06:29Z |
Entry not found
|
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maxmashup/MarinaSena
|
maxmashup
| 2023-12-14T20:27:57Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T02:07:07Z |
Entry not found
|
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] |
austin/gca_tab_onnx
|
austin
| 2023-12-14T03:18:51Z | 0 | 0 |
transformers
|
[
"transformers",
"onnx",
"deberta-v2",
"text-classification",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2023-12-14T02:11:37Z |
---
license: mit
---
|
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] |
Tsuinzues/pokungfupanda
|
Tsuinzues
| 2023-12-14T02:17:29Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T02:12:41Z |
---
license: openrail
---
|
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jan-hq/trinity-v1-GGUF
|
jan-hq
| 2023-12-15T06:59:48Z | 0 | 6 | null |
[
"gguf",
"en",
"base_model:janhq/trinity-v1",
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T02:15:06Z |
---
license: apache-2.0
language:
- en
base_model: janhq/trinity-v1
model_creator: janhq
model_name: trinity-v1
quantized_by: JanHQ
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<p align="center">
<a href="https://jan.ai/">Jan</a>
- <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
</p>
<!-- header end -->
# Model Description
This is a GGUF version of [janhq/trinity-v1](https://huggingface.co/janhq/trinity-v1)
- Model creator: [janhq](https://huggingface.co/janhq)
- Original model: [trinity-v1](https://huggingface.co/janhq/trinity-v1)
- Model description: [Readme](https://huggingface.co/janhq/universe-fusion-v1/blob/main/README.md)
# Run this model
You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux.
Jan is an open source, ChatGPT alternative that is:
- 💻 **100% offline on your machine**: Your conversations remain confidential, and visible only to you.
- 🗂️ **An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time.
- 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints
- 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq)
# Prompt template
- **ChatML**
```
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
# About Jan
Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.
Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.
# Jan Model Converter
This is a repository for the [open-source converter](https://github.com/janhq/model-converter). We would be grateful if the community could contribute and strengthen this repository. We are aiming to expand the repo that can convert into various types of format
|
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JaxxGame15/philip
|
JaxxGame15
| 2023-12-14T02:15:17Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T02:15:16Z |
Entry not found
|
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dvshah13/distilhubert-finetuned-gtzan
|
dvshah13
| 2023-12-14T02:21:38Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T02:21:38Z |
Entry not found
|
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] |
chinahbcq/test_model3
|
chinahbcq
| 2023-12-14T03:53:59Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2023-12-14T02:22:21Z |
Entry not found
|
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] |
codegood/Mistral_latest
|
codegood
| 2023-12-16T05:04:22Z | 0 | 0 |
peft
|
[
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:filipealmeida/Mistral-7B-Instruct-v0.1-sharded",
"region:us"
] | null | 2023-12-14T02:23:59Z |
---
library_name: peft
base_model: filipealmeida/Mistral-7B-Instruct-v0.1-sharded
---
# Model Card for Model ID
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## Model Details
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### Framework versions
- PEFT 0.7.2.dev0
|
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Nubletz/food_classifier
|
Nubletz
| 2023-12-14T02:25:33Z | 0 | 0 | null |
[
"region:us"
] | null | 2023-12-14T02:25:33Z |
Entry not found
|
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ADISH007/Aws_donut_10k_incremental_1_Epoch_15
|
ADISH007
| 2023-12-14T02:28:32Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"vision-encoder-decoder",
"endpoints_compatible",
"region:us"
] | null | 2023-12-14T02:28:10Z |
Entry not found
|
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] |
hkivancoral/smids_5x_beit_base_adamax_001_fold5
|
hkivancoral
| 2023-12-14T03:19:00Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"beit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/beit-base-patch16-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
image-classification
| 2023-12-14T02:30:25Z |
---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: smids_5x_beit_base_adamax_001_fold5
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.7616666666666667
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# smids_5x_beit_base_adamax_001_fold5
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6041
- Accuracy: 0.7617
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8603 | 1.0 | 375 | 0.8648 | 0.5183 |
| 0.8445 | 2.0 | 750 | 0.8098 | 0.5417 |
| 0.7944 | 3.0 | 1125 | 0.7826 | 0.5917 |
| 0.7602 | 4.0 | 1500 | 0.8095 | 0.6133 |
| 0.7358 | 5.0 | 1875 | 0.7702 | 0.62 |
| 0.7338 | 6.0 | 2250 | 0.7325 | 0.6383 |
| 0.7068 | 7.0 | 2625 | 0.7570 | 0.6267 |
| 0.7788 | 8.0 | 3000 | 0.7318 | 0.6183 |
| 0.7701 | 9.0 | 3375 | 0.7391 | 0.65 |
| 0.7025 | 10.0 | 3750 | 0.7251 | 0.6617 |
| 0.7076 | 11.0 | 4125 | 0.7171 | 0.6433 |
| 0.6226 | 12.0 | 4500 | 0.7139 | 0.6333 |
| 0.6825 | 13.0 | 4875 | 0.7299 | 0.63 |
| 0.6882 | 14.0 | 5250 | 0.7324 | 0.6517 |
| 0.7468 | 15.0 | 5625 | 0.6842 | 0.7 |
| 0.6568 | 16.0 | 6000 | 0.7213 | 0.6533 |
| 0.6593 | 17.0 | 6375 | 0.6880 | 0.6583 |
| 0.68 | 18.0 | 6750 | 0.6884 | 0.6733 |
| 0.6767 | 19.0 | 7125 | 0.7231 | 0.665 |
| 0.6609 | 20.0 | 7500 | 0.6577 | 0.6983 |
| 0.6233 | 21.0 | 7875 | 0.7352 | 0.6417 |
| 0.6128 | 22.0 | 8250 | 0.6662 | 0.695 |
| 0.6939 | 23.0 | 8625 | 0.7254 | 0.71 |
| 0.6892 | 24.0 | 9000 | 0.7067 | 0.695 |
| 0.5723 | 25.0 | 9375 | 0.6348 | 0.72 |
| 0.6474 | 26.0 | 9750 | 0.6506 | 0.7083 |
| 0.6695 | 27.0 | 10125 | 0.6672 | 0.6883 |
| 0.7033 | 28.0 | 10500 | 0.6914 | 0.6833 |
| 0.6792 | 29.0 | 10875 | 0.6764 | 0.685 |
| 0.5904 | 30.0 | 11250 | 0.6857 | 0.6883 |
| 0.5913 | 31.0 | 11625 | 0.6709 | 0.6933 |
| 0.5784 | 32.0 | 12000 | 0.7184 | 0.69 |
| 0.6212 | 33.0 | 12375 | 0.6393 | 0.7233 |
| 0.6674 | 34.0 | 12750 | 0.6697 | 0.71 |
| 0.5844 | 35.0 | 13125 | 0.6220 | 0.7283 |
| 0.5892 | 36.0 | 13500 | 0.6265 | 0.7217 |
| 0.572 | 37.0 | 13875 | 0.6315 | 0.7117 |
| 0.5345 | 38.0 | 14250 | 0.6267 | 0.7417 |
| 0.5582 | 39.0 | 14625 | 0.5952 | 0.7433 |
| 0.5947 | 40.0 | 15000 | 0.6182 | 0.715 |
| 0.5681 | 41.0 | 15375 | 0.6009 | 0.7533 |
| 0.5885 | 42.0 | 15750 | 0.6107 | 0.7367 |
| 0.5772 | 43.0 | 16125 | 0.5746 | 0.75 |
| 0.4378 | 44.0 | 16500 | 0.5833 | 0.755 |
| 0.5286 | 45.0 | 16875 | 0.6256 | 0.7417 |
| 0.538 | 46.0 | 17250 | 0.6036 | 0.7483 |
| 0.5732 | 47.0 | 17625 | 0.6044 | 0.76 |
| 0.4485 | 48.0 | 18000 | 0.5966 | 0.7533 |
| 0.4959 | 49.0 | 18375 | 0.6043 | 0.7583 |
| 0.4683 | 50.0 | 18750 | 0.6041 | 0.7617 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
|
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behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_RandomError0.6_Seed102
|
behzadnet
| 2023-12-14T02:34:02Z | 0 | 0 |
peft
|
[
"peft",
"arxiv:1910.09700",
"base_model:Trelis/Llama-2-7b-chat-hf-sharded-bf16",
"region:us"
] | null | 2023-12-14T02:33:56Z |
---
library_name: peft
base_model: Trelis/Llama-2-7b-chat-hf-sharded-bf16
---
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## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.7.0.dev0
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.7.0.dev0
|
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behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned_RandomError0.6_Seed102
|
behzadnet
| 2023-12-14T02:34:11Z | 0 | 0 |
peft
|
[
"peft",
"arxiv:1910.09700",
"base_model:Trelis/Llama-2-7b-chat-hf-sharded-bf16",
"region:us"
] | null | 2023-12-14T02:34:08Z |
---
library_name: peft
base_model: Trelis/Llama-2-7b-chat-hf-sharded-bf16
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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## How to Get Started with the Model
Use the code below to get started with the model.
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## Training Details
### Training Data
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### Training Procedure
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#### Preprocessing [optional]
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#### Training Hyperparameters
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#### Metrics
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### Results
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## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.7.0.dev0
|
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] |
sumit077/sumiy
|
sumit077
| 2023-12-14T02:36:01Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2023-12-14T02:36:01Z |
---
license: apache-2.0
---
|
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LinsTLHandGFfan/Mazzy
|
LinsTLHandGFfan
| 2023-12-14T02:45:39Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T02:44:27Z |
---
license: openrail
---
|
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] |
mogam/bert-base-cased-wikitext2
|
mogam
| 2023-12-14T02:55:05Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"bert",
"fill-mask",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
fill-mask
| 2023-12-14T02:45:48Z |
---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-wikitext2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-cased-wikitext2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.0731
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 294 | 7.2902 |
| 7.6498 | 2.0 | 588 | 7.1289 |
| 7.6498 | 3.0 | 882 | 7.0701 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3
|
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GALAIXYZ/GALWorld
|
GALAIXYZ
| 2023-12-14T02:54:04Z | 0 | 0 | null |
[
"license:creativeml-openrail-m",
"region:us"
] | null | 2023-12-14T02:47:27Z |
---
license: creativeml-openrail-m
---
|
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] |
sanhocho/xlm-roberta-base-finetuned-panx-de
|
sanhocho
| 2023-12-14T02:52:48Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"dataset:xtreme",
"base_model:xlm-roberta-base",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
token-classification
| 2023-12-14T02:47:54Z |
---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: validation
args: PAN-X.de
metrics:
- name: F1
type: f1
value: 0.8615068961586687
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1359
- F1: 0.8615
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2595 | 1.0 | 525 | 0.1510 | 0.8271 |
| 0.1268 | 2.0 | 1050 | 0.1321 | 0.8532 |
| 0.0794 | 3.0 | 1575 | 0.1359 | 0.8615 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.13.3
|
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] |
LinsTLHandGFfan/Nina
|
LinsTLHandGFfan
| 2023-12-14T02:49:51Z | 0 | 0 | null |
[
"license:openrail",
"region:us"
] | null | 2023-12-14T02:48:59Z |
---
license: openrail
---
|
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] |
codys12/MAmmoTH-phi-1_5
|
codys12
| 2023-12-14T20:42:10Z | 0 | 0 |
transformers
|
[
"transformers",
"pytorch",
"phi",
"text-generation",
"custom_code",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2023-12-14T02:49:38Z |
Entry not found
|
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GridTST/weather_96_192
|
GridTST
| 2023-12-14T02:59:19Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gridtst",
"endpoints_compatible",
"region:us"
] | null | 2023-12-14T02:59:18Z |
Entry not found
|
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GridTST/weather_96_336
|
GridTST
| 2023-12-14T02:59:21Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gridtst",
"endpoints_compatible",
"region:us"
] | null | 2023-12-14T02:59:19Z |
Entry not found
|
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