test_model
This model is a fine-tuned version of ai4bharat/indic-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5251
- Accuracy: 0.7788
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 |
|---|---|---|---|---|
| No log | 1.0 | 65 | 0.5317 | 0.7788 |
| No log | 2.0 | 130 | 0.5251 | 0.7788 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.17.0
- Tokenizers 0.19.1
- Downloads last month
- 10
Model tree for poooj/test_model_tamillion
Base model
ai4bharat/indic-bert