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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: vinzur/results |
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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 [vinzur/results](https://huggingface.co/vinzur/results) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3230 |
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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: 1e-05 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 12 |
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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 | 1.0 | 63 | 0.3541 | |
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| 0.4108 | 2.0 | 126 | 0.3398 | |
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| 0.4108 | 3.0 | 189 | 0.3230 | |
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| 0.3148 | 4.0 | 252 | 0.3258 | |
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| 0.2871 | 5.0 | 315 | 0.3230 | |
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| 0.2871 | 6.0 | 378 | 0.3288 | |
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| 0.2468 | 7.0 | 441 | 0.3251 | |
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| 0.2274 | 8.0 | 504 | 0.3277 | |
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| 0.2274 | 9.0 | 567 | 0.3306 | |
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| 0.2103 | 10.0 | 630 | 0.3263 | |
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| 0.2103 | 11.0 | 693 | 0.3266 | |
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| 0.2094 | 12.0 | 756 | 0.3285 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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