|
--- |
|
license: mit |
|
base_model: distil-whisper/distil-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- ravnursson_asr |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: distil-whisper-large-fo-100h-5k-steps |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: ravnursson_asr |
|
type: ravnursson_asr |
|
config: ravnursson_asr |
|
split: test |
|
args: ravnursson_asr |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 13.55445943225287 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/setur/huggingface/runs/z2f3h1m3) |
|
# distil-whisper-large-fo-100h-5k-steps |
|
|
|
This model is a fine-tuned version of [distil-whisper/distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3) on the ravnursson_asr dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2075 |
|
- Wer: 13.5545 |
|
|
|
## 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: 8 |
|
- 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: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.4469 | 0.2320 | 1000 | 0.5128 | 30.3201 | |
|
| 0.2995 | 0.4640 | 2000 | 0.3383 | 21.1295 | |
|
| 0.2338 | 0.6961 | 3000 | 0.2666 | 17.4351 | |
|
| 0.2009 | 0.9281 | 4000 | 0.2270 | 14.9940 | |
|
| 0.0963 | 1.1601 | 5000 | 0.2075 | 13.5545 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
