metadata
license: cc-by-4.0
base_model: l3cube-pune/telugu-bert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: telugu-bert
results: []
telugu-bert
This model is a fine-tuned version of l3cube-pune/telugu-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3905
- Accuracy: 0.848
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5958 | 1.0 | 625 | 0.4664 | 0.807 |
| 0.4502 | 2.0 | 1250 | 0.3905 | 0.848 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1