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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: DistilBERT-POWO_Scratch |
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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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# DistilBERT-POWO_Scratch |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9068 |
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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: 5e-05 |
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- train_batch_size: 5 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 40 |
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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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- 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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| 7.104 | 0.18 | 200 | 5.9641 | |
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| 5.6973 | 0.36 | 400 | 5.5992 | |
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| 5.5464 | 0.54 | 600 | 5.4564 | |
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| 5.377 | 0.72 | 800 | 5.3606 | |
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| 5.2162 | 0.9 | 1000 | 5.2674 | |
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| 5.1499 | 1.08 | 1200 | 5.2080 | |
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| 5.1313 | 1.26 | 1400 | 5.1447 | |
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| 5.0138 | 1.44 | 1600 | 5.1041 | |
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| 4.9509 | 1.62 | 1800 | 5.0572 | |
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| 4.9598 | 1.8 | 2000 | 5.0185 | |
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| 4.9581 | 1.98 | 2200 | 5.0109 | |
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| 4.8458 | 2.16 | 2400 | 4.9608 | |
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| 4.953 | 2.34 | 2600 | 4.9482 | |
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| 4.7448 | 2.52 | 2800 | 4.9211 | |
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| 4.8574 | 2.71 | 3000 | 4.9093 | |
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| 4.8402 | 2.89 | 3200 | 4.8980 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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