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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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metrics: |
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- accuracy |
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model_index: |
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name: bert-base-uncased-sst2-distilled |
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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-base-uncased-sst2-distilled |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2676 |
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- Accuracy: 0.9025 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.3797 | 1.0 | 2105 | 0.2512 | 0.9002 | |
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| 0.3036 | 2.0 | 4210 | 0.2643 | 0.8933 | |
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| 0.2609 | 3.0 | 6315 | 0.2831 | 0.8956 | |
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| 0.2417 | 4.0 | 8420 | 0.2676 | 0.9025 | |
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| 0.2305 | 5.0 | 10525 | 0.2740 | 0.9025 | |
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### Framework versions |
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- Transformers 4.9.1 |
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- Pytorch 1.8.1 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.1 |
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