|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- librispeech_asr |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: SpeechGPT |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: librispeech_asr |
|
type: librispeech_asr |
|
config: clean |
|
split: None |
|
args: 'config: clean, split: train' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 2.8092665855143033 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# SpeechGPT |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech_asr dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0813 |
|
- Wer: 2.8093 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- 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: 500 |
|
- num_epochs: 1 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.0956 | 0.12 | 1000 | 0.1065 | 3.6519 | |
|
| 0.1002 | 0.24 | 2000 | 0.0997 | 3.5453 | |
|
| 0.0841 | 0.36 | 3000 | 0.0941 | 3.3057 | |
|
| 0.0839 | 0.48 | 4000 | 0.0905 | 3.1783 | |
|
| 0.0821 | 0.6 | 5000 | 0.0855 | 2.9595 | |
|
| 0.0626 | 0.72 | 6000 | 0.0839 | 2.9310 | |
|
| 0.0643 | 0.84 | 7000 | 0.0821 | 2.8112 | |
|
| 0.0908 | 0.97 | 8000 | 0.0813 | 2.8093 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.15.2 |
|
|
