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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: JackFram/llama-68m |
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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: 3b3fa2d5-5b01-4479-9447-d2c53d0f40b6 |
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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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# 3b3fa2d5-5b01-4479-9447-d2c53d0f40b6 |
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This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6811 |
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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: 0.000206 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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 | 0.0001 | 1 | 5.5038 | |
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| 3.408 | 0.0042 | 50 | 3.4438 | |
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| 3.0626 | 0.0084 | 100 | 2.9485 | |
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| 2.8832 | 0.0127 | 150 | 2.9219 | |
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| 2.8748 | 0.0169 | 200 | 2.8083 | |
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| 2.9119 | 0.0211 | 250 | 2.8442 | |
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| 2.6523 | 0.0253 | 300 | 2.7347 | |
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| 2.7253 | 0.0295 | 350 | 2.7128 | |
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| 2.5942 | 0.0338 | 400 | 2.7093 | |
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| 2.72 | 0.0380 | 450 | 2.6901 | |
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| 3.0129 | 0.0422 | 500 | 2.6811 | |
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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 |
