metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Telugu-sentiment_analysis
results: []
Telugu-sentiment_analysis
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9966
- Accuracy: 0.5381
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0084 | 1.0 | 1758 | 1.0049 | 0.5381 |
| 1.0044 | 2.0 | 3516 | 1.0062 | 0.5381 |
| 1.003 | 3.0 | 5274 | 1.0006 | 0.5381 |
| 1.0034 | 4.0 | 7032 | 0.9985 | 0.5381 |
| 1.0014 | 5.0 | 8790 | 0.9981 | 0.5381 |
| 1.0007 | 6.0 | 10548 | 0.9975 | 0.5381 |
| 1.0009 | 7.0 | 12306 | 0.9973 | 0.5381 |
| 1.0004 | 8.0 | 14064 | 0.9970 | 0.5381 |
| 0.9992 | 9.0 | 15822 | 0.9968 | 0.5381 |
| 0.9986 | 10.0 | 17580 | 0.9966 | 0.5381 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0