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--- |
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base_model: meta-llama/Llama-2-13b-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: saiga13summary_v21_FULL |
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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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# saiga13summary_v21_FULL |
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8578 |
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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: 0.0003 |
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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: 10 |
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- total_train_batch_size: 20 |
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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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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4321 | 0.7168 | 20 | 1.2582 | |
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| 1.2013 | 1.4337 | 40 | 1.1311 | |
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| 1.0033 | 2.1505 | 60 | 1.0325 | |
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| 0.8827 | 2.8674 | 80 | 0.9661 | |
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| 0.8191 | 3.5842 | 100 | 0.9235 | |
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| 0.762 | 4.3011 | 120 | 0.8912 | |
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| 0.7698 | 5.0179 | 140 | 0.8706 | |
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| 0.7386 | 5.7348 | 160 | 0.8638 | |
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| 0.7092 | 6.4516 | 180 | 0.8607 | |
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| 0.6884 | 7.1685 | 200 | 0.8578 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.19.1 |
