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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: Artples/L-MChat-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: 6a8436fb-637a-457a-b1ea-e432841568f4 |
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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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# 6a8436fb-637a-457a-b1ea-e432841568f4 |
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This model is a fine-tuned version of [Artples/L-MChat-7b](https://huggingface.co/Artples/L-MChat-7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4894 |
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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: 0.000211 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 110 |
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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 | 0.0002 | 1 | 1.0817 | |
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| 1.3661 | 0.0094 | 50 | 0.7780 | |
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| 1.4111 | 0.0188 | 100 | 0.8434 | |
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| 1.3753 | 0.0282 | 150 | 0.7753 | |
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| 1.356 | 0.0376 | 200 | 0.7663 | |
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| 1.2593 | 0.0470 | 250 | 0.6700 | |
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| 1.1686 | 0.0564 | 300 | 0.6256 | |
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| 1.1292 | 0.0658 | 350 | 0.5762 | |
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| 1.0613 | 0.0752 | 400 | 0.5196 | |
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| 1.1085 | 0.0846 | 450 | 0.4948 | |
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| 1.0691 | 0.0940 | 500 | 0.4894 | |
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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 |
