|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-it-small-multids-augmented |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_11_0 |
|
type: common_voice_11_0 |
|
config: it |
|
split: test |
|
args: it |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 8.749734212204975 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# whisper-it-small-multids-augmented |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1978 |
|
- Wer: 8.7497 |
|
|
|
## 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-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 25000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.1927 | 1.0 | 2500 | 0.2506 | 14.9991 | |
|
| 0.0736 | 2.01 | 5000 | 0.2258 | 12.7864 | |
|
| 0.0413 | 3.01 | 7500 | 0.2144 | 11.4508 | |
|
| 0.0201 | 4.02 | 10000 | 0.2146 | 10.8774 | |
|
| 0.0129 | 5.02 | 12500 | 0.2127 | 10.6920 | |
|
| 0.0091 | 6.03 | 15000 | 0.2117 | 10.2867 | |
|
| 0.0043 | 7.03 | 17500 | 0.2076 | 9.6860 | |
|
| 0.0018 | 8.04 | 20000 | 0.2065 | 9.4235 | |
|
| 0.0013 | 9.04 | 22500 | 0.2003 | 8.9105 | |
|
| 0.0009 | 10.05 | 25000 | 0.1978 | 8.7497 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
