metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: testTrain
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: audiofolder
type: audiofolder
config: default
split: None
args: default
metrics:
- name: Wer
type: wer
value: 1
testTrain
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 3.1925
- Wer: 1.0
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: 0.0001
- train_batch_size: 32
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.4277 | 2.6596 | 500 | 3.4397 | 1.0 |
| 3.0899 | 5.3191 | 1000 | 3.3248 | 1.0 |
| 2.986 | 7.9787 | 1500 | 3.1192 | 1.0 |
| 2.9818 | 10.6383 | 2000 | 3.2309 | 1.0 |
| 2.9831 | 13.2979 | 2500 | 3.1589 | 1.0 |
| 2.9814 | 15.9574 | 3000 | 3.1514 | 1.0 |
| 2.9809 | 18.6170 | 3500 | 3.2345 | 1.0 |
| 2.9821 | 21.2766 | 4000 | 3.1681 | 1.0 |
| 2.976 | 23.9362 | 4500 | 3.1974 | 1.0 |
| 2.9812 | 26.5957 | 5000 | 3.1984 | 1.0 |
| 2.9824 | 29.2553 | 5500 | 3.1925 | 1.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.20.1