|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: finetune_v10 |
|
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. --> |
|
|
|
# finetune_v10 |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7183 |
|
- Wer: 28.6570 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 5 |
|
- training_steps: 80 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| No log | 10.0 | 10 | 0.7852 | 45.9367 | |
|
| No log | 20.0 | 20 | 0.7061 | 24.1232 | |
|
| No log | 30.0 | 30 | 0.6899 | 32.0787 | |
|
| No log | 40.0 | 40 | 0.7144 | 31.9932 | |
|
| 0.1273 | 50.0 | 50 | 0.7314 | 27.6305 | |
|
| 0.1273 | 60.0 | 60 | 0.7285 | 27.5449 | |
|
| 0.1273 | 70.0 | 70 | 0.7554 | 54.1488 | |
|
| 0.1273 | 80.0 | 80 | 0.7183 | 28.6570 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.3 |
|
- Pytorch 2.2.0 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
