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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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base_model: unsloth/llama-2-7b-chat-bnb-4bit |
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model-index: |
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- name: llama2-chat_10000_200 |
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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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# llama2-chat_10000_200 |
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This model is a fine-tuned version of [unsloth/llama-2-7b-chat-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-chat-bnb-4bit) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0901 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 3407 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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_steps: 5 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.379 | 0.31 | 48 | 1.0400 | |
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| 1.059 | 0.61 | 96 | 1.0091 | |
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| 1.0438 | 0.92 | 144 | 0.9990 | |
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| 0.9934 | 1.23 | 192 | 0.9968 | |
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| 0.9749 | 1.54 | 240 | 0.9926 | |
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| 0.9778 | 1.84 | 288 | 0.9862 | |
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| 0.9443 | 2.15 | 336 | 1.0046 | |
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| 0.8913 | 2.46 | 384 | 1.0017 | |
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| 0.8908 | 2.76 | 432 | 0.9996 | |
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| 0.8708 | 3.07 | 480 | 1.0339 | |
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| 0.7958 | 3.38 | 528 | 1.0386 | |
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| 0.8025 | 3.69 | 576 | 1.0386 | |
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| 0.8099 | 3.99 | 624 | 1.0386 | |
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| 0.7191 | 4.3 | 672 | 1.0913 | |
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| 0.7138 | 4.61 | 720 | 1.0926 | |
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| 0.723 | 4.92 | 768 | 1.0901 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.2 |
