68 lines
1.7 KiB
Markdown
68 lines
1.7 KiB
Markdown
|
---
|
||
|
|
license: apache-2.0
|
||
|
|
base_model: openai/whisper-large-v3
|
||
|
|
tags:
|
||
|
|
- generated_from_trainer
|
||
|
|
metrics:
|
||
|
|
- wer
|
||
|
|
model-index:
|
||
|
|
- name: openai/whisper-large-v3
|
||
|
|
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. -->
|
||
|
|
|
||
|
|
# openai/whisper-large-v3
|
||
|
|
|
||
|
|
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: 0.1283
|
||
|
|
- Wer: 0.0789
|
||
|
|
|
||
|
|
## 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: 62
|
||
|
|
- eval_batch_size: 16
|
||
|
|
- seed: 42
|
||
|
|
- distributed_type: multi-GPU
|
||
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||
|
|
- lr_scheduler_type: linear
|
||
|
|
- lr_scheduler_warmup_steps: 500
|
||
|
|
- training_steps: 5000
|
||
|
|
- mixed_precision_training: Native AMP
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
||
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
||
|
|
| 0.0138 | 2.24 | 1000 | 0.0962 | 0.0863 |
|
||
|
|
| 0.004 | 4.48 | 2000 | 0.1117 | 0.0844 |
|
||
|
|
| 0.0015 | 6.73 | 3000 | 0.1178 | 0.0807 |
|
||
|
|
| 0.0004 | 8.97 | 4000 | 0.1219 | 0.0792 |
|
||
|
|
| 0.0002 | 11.21 | 5000 | 0.1283 | 0.0789 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.36.0.dev0
|
||
|
|
- Pytorch 2.0.0+cu117
|
||
|
|
- Datasets 2.14.6
|
||
|
|
- Tokenizers 0.14.1
|