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--- |
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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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- generated_from_trainer |
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base_model: TinyPixel/Llama-2-7B-bf16-sharded |
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model-index: |
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- name: llama2-7b-ft-adapters |
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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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# llama2-7b-ft-adapters |
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This model is a fine-tuned version of [TinyPixel/Llama-2-7B-bf16-sharded](https://huggingface.co/TinyPixel/Llama-2-7B-bf16-sharded) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4400 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 6 |
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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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| 1.2165 | 0.95 | 15 | 0.6419 | |
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| 0.505 | 1.97 | 31 | 0.4841 | |
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| 0.4416 | 2.98 | 47 | 0.4493 | |
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| 0.3976 | 4.0 | 63 | 0.4346 | |
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| 0.375 | 4.95 | 78 | 0.4301 | |
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| 0.2842 | 5.71 | 90 | 0.4400 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
