|
--- |
|
library_name: peft |
|
language: |
|
- en |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- wft |
|
- whisper |
|
- automatic-speech-recognition |
|
- audio |
|
- speech |
|
- generated_from_trainer |
|
datasets: |
|
- hf-internal-testing/librispeech_asr_dummy |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wft-test-model |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: hf-internal-testing/librispeech_asr_dummy |
|
type: hf-internal-testing/librispeech_asr_dummy |
|
metrics: |
|
- type: wer |
|
value: 65.4320987654321 |
|
name: Wer |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# wft-test-model |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the hf-internal-testing/librispeech_asr_dummy dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0315 |
|
- Wer: 65.4321 |
|
- Cer: 30.1947 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 1.8721 | 1.0 | 8 | 1.5609 | 74.0741 | 31.3264 | |
|
| 0.8099 | 2.0 | 16 | 1.2784 | 69.6296 | 31.1453 | |
|
| 0.3841 | 3.0 | 24 | 1.1096 | 75.3086 | 36.5776 | |
|
| 0.1898 | 4.0 | 32 | 1.0460 | 68.6420 | 32.5939 | |
|
| 0.1511 | 5.0 | 40 | 1.0315 | 65.4321 | 30.1947 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.45.2 |
|
- Pytorch 2.5.0 |
|
- Datasets 3.0.2 |
|
- Tokenizers 0.20.1 |
