Upload model
Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +1 -1
- generation_config.json +14 -0
- model-00001-of-00014.safetensors +1 -1
- model-00002-of-00014.safetensors +1 -1
- model-00003-of-00014.safetensors +1 -1
- model-00004-of-00014.safetensors +1 -1
- model-00005-of-00014.safetensors +1 -1
- model-00006-of-00014.safetensors +1 -1
- model-00007-of-00014.safetensors +1 -1
- model-00008-of-00014.safetensors +1 -1
- model-00009-of-00014.safetensors +1 -1
- model-00010-of-00014.safetensors +1 -1
- model-00011-of-00014.safetensors +1 -1
- model-00012-of-00014.safetensors +1 -1
- model-00013-of-00014.safetensors +1 -1
- model-00014-of-00014.safetensors +1 -1
- start_end.json +1 -0
- train_results.json +8 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +2772 -0
- training_args.bin +2 -2
- training_loss.png +0 -0
README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-32B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: no_pipeline_10k_32B
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# no_pipeline_10k_32B
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This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the mlfoundations-dev/no_pipeline_10k dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 64
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 512
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 4.968152866242038,
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"total_flos": 4.6317288847048704e+17,
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"train_loss": 0.30433785139750213,
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"train_runtime": 26201.4476,
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"train_samples_per_second": 1.908,
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"train_steps_per_second": 0.015
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}
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config.json
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{
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"_name_or_path": "Qwen
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"architectures": [
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"Qwen2ForCausalLM"
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],
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{
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"_name_or_path": "/leonardo_work/EUHPC_E03_068/DCFT_shared/hub/models--Qwen--Qwen2.5-32B-Instruct/snapshots/5ede1c97bbab6ce5cda5812749b4c0bdf79b18dd",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.46.1"
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}
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start_end.json
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{"start_time": "2025-04-29 10:28:29", "end_time": "2025-04-29 17:52:34"}
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train_results.json
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{
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"epoch": 4.968152866242038,
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"total_flos": 4.6317288847048704e+17,
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"train_loss": 0.30433785139750213,
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"train_runtime": 26201.4476,
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"train_samples_per_second": 1.908,
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"train_steps_per_second": 0.015
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}
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trainer_log.jsonl
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trainer_state.json
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