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End of training

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  1. README.md +8 -9
  2. generation_config.json +3 -3
README.md CHANGED
@@ -1,7 +1,6 @@
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  ---
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  library_name: transformers
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- license: other
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- base_model: facebook/opt-125m
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  tags:
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  - axolotl
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  - generated_from_trainer
@@ -20,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  axolotl version: `0.6.0`
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  ```yaml
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- base_model: facebook/opt-125m
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  batch_size: 256
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  bf16: true
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  chat_template: tokenizer_default_fallback_alpaca
@@ -58,13 +57,13 @@ sample_packing: true
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  save_steps: 40
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  save_total_limit: 2
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  sequence_len: 2048
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- tokenizer_type: GPT2TokenizerFast
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  torch_dtype: bf16
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  trust_remote_code: true
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  val_set_size: 0.1
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  wandb_entity: ''
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  wandb_mode: online
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- wandb_name: facebook/opt-125m-argilla/databricks-dolly-15k-curated-en
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: default
@@ -76,9 +75,9 @@ warmup_ratio: 0.05
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  # test-repo
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- This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the argilla/databricks-dolly-15k-curated-en dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0881
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  ## Model description
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@@ -113,8 +112,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | No log | 0.3333 | 1 | 3.4279 |
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- | 2.9294 | 66.6667 | 200 | 3.0881 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ base_model: trl-internal-testing/tiny-random-LlamaForCausalLM
 
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  tags:
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  - axolotl
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  - generated_from_trainer
 
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  axolotl version: `0.6.0`
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  ```yaml
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+ base_model: trl-internal-testing/tiny-random-LlamaForCausalLM
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  batch_size: 256
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  bf16: true
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  chat_template: tokenizer_default_fallback_alpaca
 
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  save_steps: 40
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  save_total_limit: 2
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  sequence_len: 2048
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+ tokenizer_type: LlamaTokenizerFast
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  torch_dtype: bf16
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  trust_remote_code: true
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  val_set_size: 0.1
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  wandb_entity: ''
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  wandb_mode: online
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+ wandb_name: trl-internal-testing/tiny-random-LlamaForCausalLM-argilla/databricks-dolly-15k-curated-en
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: default
 
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  # test-repo
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+ This model is a fine-tuned version of [trl-internal-testing/tiny-random-LlamaForCausalLM](https://huggingface.co/trl-internal-testing/tiny-random-LlamaForCausalLM) on the argilla/databricks-dolly-15k-curated-en dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 9.6817
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | No log | 0.3333 | 1 | 10.3756 |
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+ | 9.6746 | 66.6667 | 200 | 9.6817 |
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  ### Framework versions
generation_config.json CHANGED
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  {
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  "_from_model_config": true,
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- "bos_token_id": 2,
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  "do_sample": true,
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- "eos_token_id": 2,
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- "pad_token_id": 1,
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  "transformers_version": "4.48.1"
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  }
 
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  {
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  "_from_model_config": true,
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+ "bos_token_id": 0,
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  "do_sample": true,
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+ "eos_token_id": 1,
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+ "pad_token_id": 2,
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  "transformers_version": "4.48.1"
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  }