---
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