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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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library_name: peft |
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license: llama2 |
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metrics: |
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- rouge |
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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: meta-llama/Llama-2-7b-hf |
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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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# meta-llama/Llama-2-7b-hf |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2159 |
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- Rouge1: 0.8791 |
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- Rouge2: 0.7599 |
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- Rougel: 0.8661 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 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 | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:| |
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| 0.2548 | 0.9990 | 513 | 0.2430 | 0.8707 | 0.7454 | 0.8577 | |
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| 0.2351 | 2.0 | 1027 | 0.2333 | 0.8717 | 0.7503 | 0.8613 | |
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| 0.2108 | 2.9990 | 1540 | 0.2205 | 0.8745 | 0.7543 | 0.8634 | |
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| 0.1954 | 4.0 | 2054 | 0.2159 | 0.8791 | 0.7599 | 0.8661 | |
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| 0.1998 | 4.9951 | 2565 | 0.2147 | 0.8822 | 0.7606 | 0.8661 | |
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### Framework versions |
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- PEFT 0.13.1 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
