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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: NousResearch/Llama-2-7b-hf |
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model-index: |
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- name: llama-2-7b-news-gen |
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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-news-gen |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3099 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7847 | 0.41 | 25 | 1.7056 | |
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| 1.6833 | 0.82 | 50 | 1.6216 | |
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| 1.6116 | 1.23 | 75 | 1.5565 | |
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| 1.5546 | 1.64 | 100 | 1.4979 | |
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| 1.5453 | 2.05 | 125 | 1.4493 | |
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| 1.433 | 2.46 | 150 | 1.3999 | |
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| 1.4277 | 2.87 | 175 | 1.3624 | |
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| 1.3405 | 3.28 | 200 | 1.3303 | |
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| 1.3358 | 3.69 | 225 | 1.3099 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
