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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-base-uncased-scratch-powo_mgh_pt |
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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-base-uncased-scratch-powo_mgh_pt |
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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: 3.0408 |
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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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| 6.4584 | 0.2 | 200 | 4.7806 | |
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| 4.6385 | 0.41 | 400 | 4.3704 | |
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| 4.2219 | 0.61 | 600 | 4.0727 | |
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| 3.994 | 0.81 | 800 | 3.8772 | |
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| 3.8048 | 1.01 | 1000 | 3.6894 | |
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| 3.6722 | 1.22 | 1200 | 3.5732 | |
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| 3.4828 | 1.42 | 1400 | 3.4203 | |
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| 3.3648 | 1.62 | 1600 | 3.3634 | |
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| 3.3918 | 1.83 | 1800 | 3.2685 | |
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| 3.3919 | 2.03 | 2000 | 3.2027 | |
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| 3.1715 | 2.23 | 2200 | 3.1365 | |
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| 3.0635 | 2.43 | 2400 | 3.1228 | |
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| 3.0804 | 2.64 | 2600 | 3.0595 | |
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| 3.0468 | 2.84 | 2800 | 3.0318 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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