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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: 0.2350
- Accuracy: 0.9308
## 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: 1e-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 | 67 | 0.1916 | 0.9271 |
| 0.2043 | 2.0 | 134 | 0.1966 | 0.9290 |
| 0.2043 | 3.0 | 201 | 0.2103 | 0.9252 |
| 0.1106 | 4.0 | 268 | 0.2124 | 0.9308 |
| 0.1106 | 5.0 | 335 | 0.2114 | 0.9290 |
| 0.0694 | 6.0 | 402 | 0.2184 | 0.9271 |
| 0.0694 | 7.0 | 469 | 0.2300 | 0.9327 |
| 0.0391 | 8.0 | 536 | 0.2332 | 0.9252 |
| 0.0391 | 9.0 | 603 | 0.2351 | 0.9308 |
| 0.0392 | 10.0 | 670 | 0.2350 | 0.9308 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
|