| --- |
| license: cc-by-4.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: hing-roberta-finetuned-non-code-mixed-DS |
| 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. --> |
|
|
| # hing-roberta-finetuned-non-code-mixed-DS |
|
|
| This model is a fine-tuned version of [l3cube-pune/hing-roberta](https://huggingface.co/l3cube-pune/hing-roberta) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1286 |
| - Accuracy: 0.6656 |
| - Precision: 0.6575 |
| - Recall: 0.6554 |
| - F1: 0.6556 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2.824279936868144e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 43 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 0.8233 | 2.0 | 926 | 0.8104 | 0.6656 | 0.6607 | 0.6537 | 0.6555 | |
| | 0.3924 | 3.99 | 1852 | 1.1286 | 0.6656 | 0.6575 | 0.6554 | 0.6556 | |
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|
| ### Framework versions |
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|
| - Transformers 4.20.1 |
| - Pytorch 1.10.1+cu111 |
| - Datasets 2.3.2 |
| - Tokenizers 0.12.1 |
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|
