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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: da-sentiment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# da-sentiment
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5176
- Accuracy: 0.9254
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 46 | 0.4631 | 0.9282 |
| No log | 2.0 | 92 | 0.6217 | 0.9227 |
| No log | 3.0 | 138 | 0.5297 | 0.9309 |
| No log | 4.0 | 184 | 0.5492 | 0.9365 |
| No log | 5.0 | 230 | 0.6775 | 0.9061 |
| No log | 6.0 | 276 | 0.6767 | 0.9199 |
| No log | 7.0 | 322 | 0.5680 | 0.9309 |
| No log | 8.0 | 368 | 0.5551 | 0.9309 |
| No log | 9.0 | 414 | 0.5094 | 0.9309 |
| No log | 10.0 | 460 | 0.5176 | 0.9254 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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