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# 16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0430
- Accuracy: 0.9904

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6916        | 1.0   | 737  | 0.7956          | 0.7607   |
| 0.9062        | 2.0   | 1474 | 0.4648          | 0.8621   |
| 0.5081        | 3.0   | 2211 | 0.3367          | 0.9010   |
| 0.4278        | 4.0   | 2948 | 0.2179          | 0.9364   |
| 0.2806        | 5.0   | 3685 | 0.1540          | 0.9575   |
| 0.2383        | 6.0   | 4422 | 0.1077          | 0.9715   |
| 0.1633        | 7.0   | 5159 | 0.0844          | 0.9784   |
| 0.157         | 8.0   | 5896 | 0.0632          | 0.9851   |
| 0.1146        | 9.0   | 6633 | 0.0534          | 0.9881   |
| 0.0928        | 10.0  | 7370 | 0.0456          | 0.9896   |
| 0.0793        | 11.0  | 8107 | 0.0430          | 0.9904   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "16class_combo_vth_new_pp_full_updated_tweet_14nov23_v1", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:bert-base-multilingual-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us