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--- |
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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: da-sentiment |
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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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# da-sentiment |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5176 |
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- Accuracy: 0.9254 |
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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: 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 |
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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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| No log | 1.0 | 46 | 0.4631 | 0.9282 | |
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| No log | 2.0 | 92 | 0.6217 | 0.9227 | |
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| No log | 3.0 | 138 | 0.5297 | 0.9309 | |
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| No log | 4.0 | 184 | 0.5492 | 0.9365 | |
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| No log | 5.0 | 230 | 0.6775 | 0.9061 | |
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| No log | 6.0 | 276 | 0.6767 | 0.9199 | |
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| No log | 7.0 | 322 | 0.5680 | 0.9309 | |
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| No log | 8.0 | 368 | 0.5551 | 0.9309 | |
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| No log | 9.0 | 414 | 0.5094 | 0.9309 | |
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| No log | 10.0 | 460 | 0.5176 | 0.9254 | |
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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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