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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: 0.2350 |
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- Accuracy: 0.9308 |
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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: 1e-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 | 67 | 0.1916 | 0.9271 | |
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| 0.2043 | 2.0 | 134 | 0.1966 | 0.9290 | |
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| 0.2043 | 3.0 | 201 | 0.2103 | 0.9252 | |
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| 0.1106 | 4.0 | 268 | 0.2124 | 0.9308 | |
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| 0.1106 | 5.0 | 335 | 0.2114 | 0.9290 | |
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| 0.0694 | 6.0 | 402 | 0.2184 | 0.9271 | |
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| 0.0694 | 7.0 | 469 | 0.2300 | 0.9327 | |
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| 0.0391 | 8.0 | 536 | 0.2332 | 0.9252 | |
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| 0.0391 | 9.0 | 603 | 0.2351 | 0.9308 | |
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| 0.0392 | 10.0 | 670 | 0.2350 | 0.9308 | |
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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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