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

This model is a fine-tuned version of [haryoaw/teacher-tyqianz-sentiment-malay](https://huggingface.co/haryoaw/teacher-tyqianz-sentiment-malay) on the multilingual-sentiments dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1304
- Accuracy: 0.7085
- F1: 0.6823

## 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        | 0.68  | 100  | 0.6951          | 0.7184   | 0.6875 |
| No log        | 1.36  | 200  | 0.9560          | 0.6995   | 0.6639 |
| No log        | 2.04  | 300  | 0.8142          | 0.7045   | 0.6774 |
| No log        | 2.72  | 400  | 0.9567          | 0.7144   | 0.6756 |
| 0.3132        | 3.4   | 500  | 1.2835          | 0.7254   | 0.6983 |
| 0.3132        | 4.08  | 600  | 1.2929          | 0.7224   | 0.7037 |
| 0.3132        | 4.76  | 700  | 1.4057          | 0.7124   | 0.6892 |
| 0.3132        | 5.44  | 800  | 1.5405          | 0.7104   | 0.6850 |
| 0.3132        | 6.12  | 900  | 1.8422          | 0.7035   | 0.6772 |
| 0.1156        | 6.8   | 1000 | 1.6018          | 0.7154   | 0.6810 |
| 0.1156        | 7.48  | 1100 | 1.7704          | 0.7065   | 0.6834 |
| 0.1156        | 8.16  | 1200 | 1.7839          | 0.7045   | 0.6790 |
| 0.1156        | 8.84  | 1300 | 1.9827          | 0.7154   | 0.6934 |
| 0.1156        | 9.52  | 1400 | 1.8523          | 0.7204   | 0.7006 |
| 0.0725        | 10.2  | 1500 | 2.2075          | 0.7045   | 0.6723 |
| 0.0725        | 10.88 | 1600 | 2.0379          | 0.7204   | 0.6906 |
| 0.0725        | 11.56 | 1700 | 2.1255          | 0.7194   | 0.6950 |
| 0.0725        | 12.24 | 1800 | 1.9350          | 0.7055   | 0.6759 |
| 0.0725        | 12.93 | 1900 | 2.1074          | 0.7005   | 0.6822 |
| 0.0534        | 13.61 | 2000 | 2.1690          | 0.7104   | 0.6869 |
| 0.0534        | 14.29 | 2100 | 2.1304          | 0.7085   | 0.6823 |


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