metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- bleu
- wer
- chrf
model-index:
- name: whisper-tiny-ga2en-v1.2
results: []
datasets:
- ymoslem/IWSLT2023-GA-EN
language:
- ga
- en
library_name: transformers
whisper-tiny-ga2en-v1.2
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. The best model (this version) based on ChrF is at checkpoint 900, epoch 13.24, and it achieves the following results on the evaluation set:
- Loss: 2.7626
- Bleu: 15.36
- Chrf: 32.05
- Wer: 93.1112
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Experiment
- learning_rate: 0.0001
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer |
|---|---|---|---|---|---|---|
| 0.8137 | 1.47 | 100 | 2.1667 | 8.99 | 24.09 | 125.4840 |
| 0.3542 | 2.94 | 200 | 2.2521 | 10.81 | 28.88 | 117.7398 |
| 0.0878 | 4.41 | 300 | 2.4337 | 14.69 | 31.31 | 98.6042 |
| 0.0602 | 5.88 | 400 | 2.5646 | 13.66 | 31.71 | 106.9338 |
| 0.0325 | 7.35 | 500 | 2.6156 | 13.97 | 30.21 | 99.7299 |
| 0.0323 | 8.82 | 600 | 2.6510 | 14.53 | 30.88 | 100.2701 |
| 0.0153 | 10.29 | 700 | 2.7360 | 14.17 | 30.99 | 103.1067 |
| 0.0092 | 11.76 | 800 | 2.7474 | 15.06 | 31.84 | 93.5615 |
| 0.0058 | 13.24 | 900 | 2.7626 | 15.36 | 32.05 | 93.1112 |
| 0.0039 | 14.71 | 1000 | 2.7774 | 15.38 | 32.04 | 93.6515 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2