|
|
--- |
|
|
license: cc-by-4.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
model-index: |
|
|
- name: hing-mbert-finetuned-TRAC-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-mbert-finetuned-TRAC-DS |
|
|
|
|
|
This model is a fine-tuned version of [l3cube-pune/hing-mbert](https://huggingface.co/l3cube-pune/hing-mbert) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.9044 |
|
|
- Accuracy: 0.7010 |
|
|
- Precision: 0.6772 |
|
|
- Recall: 0.6723 |
|
|
- F1: 0.6740 |
|
|
|
|
|
## 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: 2.824279936868144e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
|
| 0.837 | 1.0 | 1224 | 0.7640 | 0.6422 | 0.6377 | 0.6475 | 0.6277 | |
|
|
| 0.6164 | 2.0 | 2448 | 0.8456 | 0.6724 | 0.6581 | 0.6623 | 0.6547 | |
|
|
| 0.434 | 3.0 | 3672 | 1.0284 | 0.6969 | 0.6715 | 0.6771 | 0.6729 | |
|
|
| 0.267 | 4.0 | 4896 | 1.5533 | 0.6912 | 0.6644 | 0.6675 | 0.6655 | |
|
|
| 0.1542 | 5.0 | 6120 | 1.9044 | 0.7010 | 0.6772 | 0.6723 | 0.6740 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.21.3 |
|
|
- Pytorch 1.12.1+cu113 |
|
|
- Datasets 2.4.0 |
|
|
- Tokenizers 0.12.1 |
|
|
|
