| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: model_indicbert_small | |
| 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. --> | |
| # model_indicbert_small | |
| This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1079 | |
| - Precision: 0.9141 | |
| - Recall: 0.9076 | |
| - F1: 0.9109 | |
| - Accuracy: 0.9652 | |
| ## 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: 20 | |
| - eval_batch_size: 20 | |
| - 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1584 | 1.0 | 8806 | 0.1524 | 0.8780 | 0.8698 | 0.8739 | 0.9499 | | |
| | 0.1149 | 2.0 | 17612 | 0.1217 | 0.9032 | 0.8961 | 0.8996 | 0.9606 | | |
| | 0.0925 | 3.0 | 26418 | 0.1079 | 0.9141 | 0.9076 | 0.9109 | 0.9652 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |