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--- |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llawma-sum-2-7b-chat |
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results: [] |
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datasets: |
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- dreamproit/bill_summary_us |
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language: |
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- en |
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--- |
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# results |
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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 the dreamproit/bill_summary_us dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7163 |
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## Model description |
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Model has been fine-tuned from llama 2 7B chat model for legal summarization tasks. |
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## Intended uses & limitations |
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The model has been fine-tuned with legal summarization text for summarization tasks. |
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Can produce repeating text when creating longer outputs. |
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Tested only with english and the bill_summary_us dataset. |
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## Training procedure |
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SFTTrainer from Hugging Face's TRL library used for fine-tuning process. |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8263 | 0.24 | 70 | 0.7693 | |
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| 0.6035 | 0.48 | 140 | 0.7467 | |
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| 0.845 | 0.72 | 210 | 0.7347 | |
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| 0.5782 | 0.96 | 280 | 0.7163 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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### license |
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Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. |
