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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lora-out |
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# lora-out |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6736 |
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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: 0.0002 |
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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: 4 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6421 | 0.16 | 50 | 1.6217 | |
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| 1.6288 | 0.31 | 100 | 1.6144 | |
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| 1.5725 | 0.47 | 150 | 1.6102 | |
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| 1.5582 | 0.62 | 200 | 1.6065 | |
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| 1.6055 | 0.78 | 250 | 1.6051 | |
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| 1.5733 | 0.93 | 300 | 1.6023 | |
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| 1.4885 | 1.09 | 350 | 1.6130 | |
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| 1.484 | 1.24 | 400 | 1.6169 | |
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| 1.4354 | 1.4 | 450 | 1.6194 | |
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| 1.4427 | 1.56 | 500 | 1.6187 | |
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| 1.4687 | 1.71 | 550 | 1.6178 | |
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| 1.461 | 1.87 | 600 | 1.6174 | |
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| 1.327 | 2.02 | 650 | 1.6341 | |
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| 1.3015 | 2.18 | 700 | 1.6665 | |
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| 1.3328 | 2.33 | 750 | 1.6714 | |
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| 1.3453 | 2.49 | 800 | 1.6718 | |
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| 1.3458 | 2.64 | 850 | 1.6725 | |
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| 1.3016 | 2.8 | 900 | 1.6737 | |
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| 1.3018 | 2.95 | 950 | 1.6736 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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