|
--- |
|
library_name: transformers |
|
license: cc-by-4.0 |
|
base_model: l3cube-pune/indic-sentence-bert-nli |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: indic-sentence-bert-nli-abusive-comments-ta |
|
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. --> |
|
|
|
# indic-sentence-bert-nli-abusive-comments-ta |
|
|
|
This model is a fine-tuned version of [l3cube-pune/indic-sentence-bert-nli](https://huggingface.co/l3cube-pune/indic-sentence-bert-nli) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3335 |
|
- Accuracy: 0.6148 |
|
- Precision: 0.0769 |
|
- Recall: 0.125 |
|
- F1: 0.0952 |
|
|
|
## 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: 128 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- 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 | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| 1.3249 | 1.0 | 186 | 1.3335 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.3468 | 2.0 | 372 | 1.3318 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.3534 | 3.0 | 558 | 1.3310 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.1991 | 4.0 | 744 | 1.3412 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.3534 | 5.0 | 930 | 1.3315 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.4725 | 6.0 | 1116 | 1.3313 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.3451 | 7.0 | 1302 | 1.3314 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.315 | 8.0 | 1488 | 1.3315 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.3157 | 9.0 | 1674 | 1.3324 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
| 1.2015 | 10.0 | 1860 | 1.3319 | 0.6176 | 0.0772 | 0.125 | 0.0955 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.1 |
|
- Pytorch 2.4.0 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.0 |
|
|
