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--- |
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license: apache-2.0 |
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base_model: amazon/MistralLite |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [amazon/MistralLite](https://huggingface.co/amazon/MistralLite) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5882 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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_ratio: 0.05 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7183 | 0.12 | 300 | 2.9336 | |
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| 2.2065 | 0.23 | 600 | 2.2421 | |
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| 2.037 | 0.35 | 900 | 2.9672 | |
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| 1.7939 | 0.46 | 1200 | 1.0765 | |
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| 1.5232 | 0.58 | 1500 | 1.8086 | |
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| 1.6083 | 0.7 | 1800 | 1.5882 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.15.0 |
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