
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bengali_pos_v1_500000

This model is a fine-tuned version of [mHossain/bengali_pos_v1_400000](https://huggingface.co/mHossain/bengali_pos_v1_400000) on the pos_tag_100k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6185
- Precision: 0.7517
- Recall: 0.7533
- F1: 0.7525
- Accuracy: 0.8149

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.6508        | 1.0   | 67500  | 0.6325          | 0.7386    | 0.7396 | 0.7391 | 0.8041   |
| 0.5713        | 2.0   | 135000 | 0.6093          | 0.7487    | 0.7500 | 0.7493 | 0.8123   |
| 0.4789        | 3.0   | 202500 | 0.6185          | 0.7517    | 0.7533 | 0.7525 | 0.8149   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["pos_tag_100k"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "mHossain/bengali_pos_v1_400000", "model-index": [{"name": "bengali_pos_v1_500000", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "pos_tag_100k", "type": "pos_tag_100k", "config": "conll2003", "split": "validation", "args": "conll2003"}, "metrics": [{"type": "precision", "value": 0.7517491791092168, "name": "Precision"}, {"type": "recall", "value": 0.7532968740056972, "name": "Recall"}, {"type": "f1", "value": 0.752522230781312, "name": "F1"}, {"type": "accuracy", "value": 0.8148741068930406, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors electra token-classification generated_from_trainer dataset:pos_tag_100k base_model:mHossain/bengali_pos_v1_400000 model-index autotrain_compatible endpoints_compatible region:us