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# scenario-kd-from-scratch-gold-silver-data-tweet_eval-sentiment-model-xlm-roberta

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0720
- Accuracy: 0.6755
- F1: 0.6420

## 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: 6969

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 4.3095        | 0.7   | 1000  | 3.4542          | 0.638    | 0.5615 |
| 3.1112        | 1.4   | 2000  | 3.0357          | 0.682    | 0.6484 |
| 2.8791        | 2.1   | 3000  | 2.9641          | 0.677    | 0.6373 |
| 2.5821        | 2.81  | 4000  | 3.0110          | 0.6695   | 0.6303 |
| 2.1895        | 3.51  | 5000  | 3.0888          | 0.672    | 0.6542 |
| 1.9976        | 4.21  | 6000  | 3.1685          | 0.677    | 0.6447 |
| 1.918         | 4.91  | 7000  | 3.1264          | 0.6715   | 0.6543 |
| 1.6104        | 5.61  | 8000  | 2.9487          | 0.6715   | 0.6396 |
| 1.3811        | 6.31  | 9000  | 3.5539          | 0.6555   | 0.6384 |
| 1.4193        | 7.01  | 10000 | 3.1164          | 0.661    | 0.6316 |
| 1.2829        | 7.71  | 11000 | 3.0770          | 0.681    | 0.6506 |
| 1.132         | 8.42  | 12000 | 3.0204          | 0.672    | 0.6428 |
| 1.1429        | 9.12  | 13000 | 2.9914          | 0.6635   | 0.6289 |
| 1.0642        | 9.82  | 14000 | 3.0322          | 0.668    | 0.6422 |
| 0.9858        | 10.52 | 15000 | 3.0235          | 0.664    | 0.6180 |
| 0.934         | 11.22 | 16000 | 2.9512          | 0.68     | 0.6393 |
| 0.9485        | 11.92 | 17000 | 3.0720          | 0.6755   | 0.6420 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_eval"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-kd-from-scratch-gold-silver-data-tweet_eval-sentiment-model-xlm-roberta", "results": []}]}
transformers pytorch xlm-roberta generated_from_trainer dataset:tweet_eval base_model:xlm-roberta-base license:mit endpoints_compatible region:us