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# sentiment_output

This model is a fine-tuned version of [mhdfadhil/mlm_output](https://huggingface.co/mhdfadhil/mlm_output) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3182
- Accuracy: 0.8625

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6798        | 1.0   | 98   | 0.5304          | 0.8013   |
| 0.474         | 2.0   | 196  | 0.3774          | 0.8328   |
| 0.3806        | 3.0   | 294  | 0.3485          | 0.8456   |
| 0.3602        | 4.0   | 392  | 0.3465          | 0.8493   |
| 0.3606        | 5.0   | 490  | 0.3346          | 0.8522   |
| 0.3494        | 6.0   | 588  | 0.3317          | 0.8562   |
| 0.3509        | 7.0   | 686  | 0.3293          | 0.8572   |
| 0.3485        | 8.0   | 784  | 0.3298          | 0.8575   |
| 0.3486        | 9.0   | 882  | 0.3282          | 0.8583   |
| 0.3381        | 10.0  | 980  | 0.3240          | 0.8600   |
| 0.3351        | 11.0  | 1078 | 0.3263          | 0.8597   |
| 0.336         | 12.0  | 1176 | 0.3213          | 0.8615   |
| 0.335         | 13.0  | 1274 | 0.3220          | 0.8614   |
| 0.3423        | 14.0  | 1372 | 0.3197          | 0.8613   |
| 0.341         | 15.0  | 1470 | 0.3200          | 0.8626   |
| 0.3386        | 16.0  | 1568 | 0.3188          | 0.8622   |
| 0.3414        | 17.0  | 1666 | 0.3187          | 0.8613   |
| 0.3372        | 18.0  | 1764 | 0.3193          | 0.8628   |
| 0.3357        | 19.0  | 1862 | 0.3183          | 0.8628   |
| 0.3345        | 20.0  | 1960 | 0.3182          | 0.8625   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mhdfadhil/mlm_output", "model-index": [{"name": "sentiment_output", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:mhdfadhil/mlm_output license:apache-2.0 autotrain_compatible endpoints_compatible region:us