metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: FULL6
results: []
FULL6
This model is a fine-tuned version of openai/whisper-large-v3 on the 9712 FULL-2024-10-24 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3645
- Wer Ortho: 20.3644
- Wer: 14.6990
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 1600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.6529 | 0.3661 | 200 | 0.4500 | 25.1823 | 18.8290 |
| 0.5129 | 0.7323 | 400 | 0.4050 | 22.7643 | 16.5316 |
| 0.4413 | 1.0984 | 600 | 0.3850 | 22.1197 | 16.4532 |
| 0.3677 | 1.4645 | 800 | 0.3770 | 21.8382 | 15.6719 |
| 0.3614 | 1.8307 | 1000 | 0.3691 | 21.0786 | 15.2740 |
| 0.3297 | 2.1968 | 1200 | 0.3696 | 20.9031 | 15.1201 |
| 0.2872 | 2.5629 | 1400 | 0.3660 | 20.5248 | 14.8442 |
| 0.2849 | 2.9291 | 1600 | 0.3645 | 20.3644 | 14.6990 |
Framework versions
- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0