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-2024-11-28 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3640
- Wer Ortho: 20.3069
- Wer: 14.6031
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 |
|---|---|---|---|---|---|
| 0.6552 | 0.3661 | 200 | 0.4502 | 25.3125 | 18.9306 |
| 0.5133 | 0.7323 | 400 | 0.4050 | 22.6977 | 16.4939 |
| 0.4417 | 1.0984 | 600 | 0.3848 | 21.6687 | 15.9014 |
| 0.3677 | 1.4645 | 800 | 0.3760 | 22.0198 | 16.0175 |
| 0.3611 | 1.8307 | 1000 | 0.3687 | 21.1089 | 15.1927 |
| 0.329 | 2.1968 | 1200 | 0.3691 | 20.9636 | 15.1462 |
| 0.2864 | 2.5629 | 1400 | 0.3657 | 20.4915 | 14.7512 |
| 0.2842 | 2.9291 | 1600 | 0.3640 | 20.3069 | 14.6031 |
Framework versions
- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0