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library_name: transformers
license: apache-2.0
base_model: parambharat/whisper-small-ta
tags:
- generated_from_trainer
model-index:
- name: MTF-ta-en-translation
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. -->
# MTF-ta-en-translation
This model is a fine-tuned version of [parambharat/whisper-small-ta](https://huggingface.co/parambharat/whisper-small-ta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1324
- Bleu Score: 0.0299
## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score |
|:-------------:|:-------:|:----:|:---------------:|:----------:|
| 0.0939 | 2.9412 | 250 | 0.0864 | 0.0302 |
| 0.0227 | 5.8824 | 500 | 0.0998 | 0.0301 |
| 0.0048 | 8.8235 | 750 | 0.1083 | 0.0340 |
| 0.001 | 11.7647 | 1000 | 0.1132 | 0.0312 |
| 0.0005 | 14.7059 | 1250 | 0.1164 | 0.0308 |
| 0.0003 | 17.6471 | 1500 | 0.1189 | 0.0322 |
| 0.0002 | 20.5882 | 1750 | 0.1208 | 0.0311 |
| 0.0002 | 23.5294 | 2000 | 0.1225 | 0.0307 |
| 0.0002 | 26.4706 | 2250 | 0.1242 | 0.0334 |
| 0.0001 | 29.4118 | 2500 | 0.1256 | 0.0321 |
| 0.0001 | 32.3529 | 2750 | 0.1268 | 0.0327 |
| 0.0001 | 35.2941 | 3000 | 0.1277 | 0.0324 |
| 0.0001 | 38.2353 | 3250 | 0.1286 | 0.0311 |
| 0.0001 | 41.1765 | 3500 | 0.1295 | 0.0309 |
| 0.0001 | 44.1176 | 3750 | 0.1302 | 0.0311 |
| 0.0001 | 47.0588 | 4000 | 0.1308 | 0.0310 |
| 0.0001 | 50.0 | 4250 | 0.1314 | 0.0313 |
| 0.0001 | 52.9412 | 4500 | 0.1320 | 0.0298 |
| 0.0001 | 55.8824 | 4750 | 0.1323 | 0.0299 |
| 0.0 | 58.8235 | 5000 | 0.1324 | 0.0299 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
|