---
license: cc-by-4.0
base_model: l3cube-pune/telugu-bert
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: output
  results: []
---

<!-- 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. -->

# output

This model is a fine-tuned version of [l3cube-pune/telugu-bert](https://huggingface.co/l3cube-pune/telugu-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6017
- Precision: 0.7825
- Recall: 0.7870
- Accuracy: 0.7870
- F1-score: 0.7809

## 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: 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
| 1.7849        | 1.0   | 32   | 1.7769          | 0.0454    | 0.2130 | 0.2130   | 0.0748   |
| 1.7491        | 2.0   | 64   | 1.7436          | 0.1414    | 0.3306 | 0.3306   | 0.1933   |
| 1.7032        | 3.0   | 96   | 1.7059          | 0.2918    | 0.3043 | 0.3043   | 0.2076   |
| 1.6498        | 4.0   | 128  | 1.6571          | 0.7274    | 0.6572 | 0.6572   | 0.6571   |
| 1.6029        | 5.0   | 160  | 1.6236          | 0.7687    | 0.7627 | 0.7627   | 0.7576   |
| 1.5724        | 6.0   | 192  | 1.6049          | 0.7894    | 0.7951 | 0.7951   | 0.7893   |
| 1.556         | 7.0   | 224  | 1.6017          | 0.7825    | 0.7870 | 0.7870   | 0.7809   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2