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 7263 FULL-2024-11-28 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4058
- Wer Ortho: 22.3744
- Wer: 15.8352
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: 3e-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: 1400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.6852 | 0.4896 | 200 | 0.4802 | 27.7318 | 21.0033 |
| 0.5153 | 0.9792 | 400 | 0.4355 | 24.3891 | 17.7718 |
| 0.4247 | 1.4688 | 600 | 0.4202 | 23.1486 | 16.5923 |
| 0.4106 | 1.9584 | 800 | 0.4087 | 22.8364 | 16.4130 |
| 0.3575 | 2.4480 | 1000 | 0.4097 | 22.6283 | 16.0902 |
| 0.3377 | 2.9376 | 1200 | 0.4045 | 23.1237 | 16.6281 |
| 0.3157 | 3.4272 | 1400 | 0.4058 | 22.3744 | 15.8352 |
Framework versions
- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0