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README.md
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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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