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# scenario-kd-from-post-finetune-silver-div-2-data-tyqiangz-multilingual-sentiment

This model is a fine-tuned version of [haryoaw/teacher_sentiment_english](https://huggingface.co/haryoaw/teacher_sentiment_english) on the multilingual-sentiments dataset.
It achieves the following results on the evaluation set:
- Loss: 7.5833
- Accuracy: 0.6389
- F1: 0.6438

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.72  | 100  | 6.2990          | 0.6204   | 0.6204 |
| No log        | 3.45  | 200  | 6.8578          | 0.6296   | 0.6288 |
| No log        | 5.17  | 300  | 8.3197          | 0.6049   | 0.6092 |
| No log        | 6.9   | 400  | 7.9242          | 0.6327   | 0.6303 |
| 3.276         | 8.62  | 500  | 6.5299          | 0.6296   | 0.6272 |
| 3.276         | 10.34 | 600  | 7.3017          | 0.6512   | 0.6472 |
| 3.276         | 12.07 | 700  | 7.3202          | 0.6512   | 0.6547 |
| 3.276         | 13.79 | 800  | 8.0880          | 0.5988   | 0.5994 |
| 3.276         | 15.52 | 900  | 8.4353          | 0.6451   | 0.6362 |
| 1.0281        | 17.24 | 1000 | 9.4040          | 0.6111   | 0.6169 |
| 1.0281        | 18.97 | 1100 | 8.0733          | 0.6327   | 0.6183 |
| 1.0281        | 20.69 | 1200 | 8.5696          | 0.6790   | 0.6791 |
| 1.0281        | 22.41 | 1300 | 7.3244          | 0.6481   | 0.6445 |
| 1.0281        | 24.14 | 1400 | 8.1305          | 0.6235   | 0.6187 |
| 0.6304        | 25.86 | 1500 | 7.9874          | 0.6265   | 0.6313 |
| 0.6304        | 27.59 | 1600 | 7.5785          | 0.6420   | 0.6383 |
| 0.6304        | 29.31 | 1700 | 8.2629          | 0.6636   | 0.6630 |
| 0.6304        | 31.03 | 1800 | 8.3536          | 0.6204   | 0.6186 |
| 0.6304        | 32.76 | 1900 | 7.3575          | 0.6512   | 0.6521 |
| 0.3821        | 34.48 | 2000 | 7.7023          | 0.6667   | 0.6673 |
| 0.3821        | 36.21 | 2100 | 8.7811          | 0.6358   | 0.6382 |
| 0.3821        | 37.93 | 2200 | 6.8649          | 0.6451   | 0.6447 |
| 0.3821        | 39.66 | 2300 | 7.0065          | 0.6636   | 0.6689 |
| 0.3821        | 41.38 | 2400 | 7.4122          | 0.6451   | 0.6443 |
| 0.2368        | 43.1  | 2500 | 7.5368          | 0.6667   | 0.6675 |
| 0.2368        | 44.83 | 2600 | 7.2821          | 0.6512   | 0.6490 |
| 0.2368        | 46.55 | 2700 | 7.5833          | 0.6389   | 0.6438 |


### 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": ["multilingual-sentiments"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/teacher_sentiment_english", "model-index": [{"name": "scenario-kd-from-post-finetune-silver-div-2-data-tyqiangz-multilingual-sentiment", "results": []}]}
transformers pytorch xlm-roberta generated_from_trainer dataset:multilingual-sentiments base_model:haryoaw/teacher_sentiment_english license:mit endpoints_compatible region:us