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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-large-uncased-finetuned-DA-Zero-shot |
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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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# bert-large-uncased-finetuned-DA-Zero-shot |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1318 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- num_epochs: 10.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1282 | 1.0 | 435 | 1.3862 | |
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| 1.1307 | 2.0 | 870 | 1.3362 | |
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| 1.2243 | 3.0 | 1305 | 1.2791 | |
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| 1.274 | 4.0 | 1740 | 1.2143 | |
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| 1.2296 | 5.0 | 2175 | 1.1799 | |
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| 1.1773 | 6.0 | 2610 | 1.1550 | |
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| 1.1519 | 7.0 | 3045 | 1.1295 | |
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| 1.1406 | 8.0 | 3480 | 1.1064 | |
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| 1.114 | 9.0 | 3915 | 1.1303 | |
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| 1.1058 | 10.0 | 4350 | 1.1214 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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