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--- |
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library_name: peft |
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license: other |
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base_model: huggyllama/llama-7b |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: 8915c3ad-e4aa-446e-aaf0-b7df16a9dbea |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<br> |
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# 8915c3ad-e4aa-446e-aaf0-b7df16a9dbea |
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This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7314 |
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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: 0.000203 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 30 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0003 | 1 | 1.2225 | |
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| 0.7859 | 0.0168 | 50 | 0.8936 | |
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| 0.7025 | 0.0336 | 100 | 0.8295 | |
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| 0.6255 | 0.0504 | 150 | 0.8096 | |
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| 0.6083 | 0.0672 | 200 | 0.7758 | |
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| 0.621 | 0.0840 | 250 | 0.7691 | |
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| 0.6135 | 0.1008 | 300 | 0.7583 | |
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| 0.5942 | 0.1175 | 350 | 0.7404 | |
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| 0.5733 | 0.1343 | 400 | 0.7354 | |
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| 0.6325 | 0.1511 | 450 | 0.7292 | |
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| 0.6317 | 0.1679 | 500 | 0.7314 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
