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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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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: SFT_FineTuned_LLAMA2
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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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# SFT_FineTuned_LLAMA2 |
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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 MatanP/stories-with_custom_prompts dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5881 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: cosine |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9368 | 1.0 | 103 | 1.6480 | |
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| 1.5178 | 2.0 | 206 | 1.6177 | |
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| 1.6781 | 3.0 | 309 | 1.5987 | |
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| 1.4845 | 4.0 | 412 | 1.5906 | |
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| 1.6539 | 5.0 | 515 | 1.5885 | |
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| 1.2499 | 6.0 | 618 | 1.5881 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
