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# scenario-non-kd-from-post-finetune-div-2-data-tyqiangz-multilingual-sentiments-e

This model is a fine-tuned version of [haryoaw/teacher_tweet_eval_sentiment_xlmr_base](https://huggingface.co/haryoaw/teacher_tweet_eval_sentiment_xlmr_base) on the multilingual-sentiments dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8195
- Accuracy: 0.6265
- F1: 0.6240

## 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  | 0.7937          | 0.6605   | 0.6648 |
| No log        | 3.45  | 200  | 0.9914          | 0.6698   | 0.6684 |
| No log        | 5.17  | 300  | 1.1532          | 0.6728   | 0.6770 |
| No log        | 6.9   | 400  | 1.4745          | 0.6543   | 0.6573 |
| 0.4064        | 8.62  | 500  | 1.7387          | 0.6605   | 0.6590 |
| 0.4064        | 10.34 | 600  | 1.9776          | 0.6481   | 0.6459 |
| 0.4064        | 12.07 | 700  | 2.3748          | 0.6389   | 0.6377 |
| 0.4064        | 13.79 | 800  | 2.4502          | 0.6327   | 0.6305 |
| 0.4064        | 15.52 | 900  | 2.6726          | 0.6265   | 0.6320 |
| 0.0541        | 17.24 | 1000 | 2.6707          | 0.6543   | 0.6519 |
| 0.0541        | 18.97 | 1100 | 2.5336          | 0.6574   | 0.6546 |
| 0.0541        | 20.69 | 1200 | 2.6538          | 0.6543   | 0.6524 |
| 0.0541        | 22.41 | 1300 | 2.7997          | 0.6512   | 0.6357 |
| 0.0541        | 24.14 | 1400 | 2.7963          | 0.6512   | 0.6572 |
| 0.0431        | 25.86 | 1500 | 2.4364          | 0.6605   | 0.6634 |
| 0.0431        | 27.59 | 1600 | 2.4627          | 0.6667   | 0.6719 |
| 0.0431        | 29.31 | 1700 | 2.8058          | 0.6481   | 0.6538 |
| 0.0431        | 31.03 | 1800 | 2.8195          | 0.6265   | 0.6240 |


### 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_tweet_eval_sentiment_xlmr_base", "model-index": [{"name": "scenario-non-kd-from-post-finetune-div-2-data-tyqiangz-multilingual-sentiments-e", "results": []}]}
transformers pytorch xlm-roberta generated_from_trainer dataset:multilingual-sentiments base_model:haryoaw/teacher_tweet_eval_sentiment_xlmr_base license:mit endpoints_compatible region:us