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--- |
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library_name: peft |
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license: llama2 |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama-2-7b-chat-hf-gsm8k-bs32-sharegpt |
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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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# llama-2-7b-chat-hf-gsm8k-bs32-sharegpt |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7306 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.8458 | 0.4274 | 100 | 0.8449 | |
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| 0.8417 | 0.8547 | 200 | 0.7988 | |
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| 0.8234 | 1.2821 | 300 | 0.7797 | |
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| 0.7774 | 1.7094 | 400 | 0.7670 | |
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| 0.72 | 2.1368 | 500 | 0.7575 | |
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| 0.7188 | 2.5641 | 600 | 0.7498 | |
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| 0.8102 | 2.9915 | 700 | 0.7438 | |
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| 0.7295 | 3.4188 | 800 | 0.7392 | |
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| 0.7591 | 3.8462 | 900 | 0.7351 | |
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| 0.7615 | 4.2735 | 1000 | 0.7323 | |
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| 0.7084 | 4.7009 | 1100 | 0.7306 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
