metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: finetune_wav2vec2_base_six_500
results: []
finetune_wav2vec2_base_six_500
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9216
- Wer: 100.0
- Cer: 99.5843
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.1782 | 9.2593 | 500 | 2.9234 | 100.0 | 99.5862 |
| 2.0275 | 18.5185 | 1000 | 1.2454 | 57.1029 | 25.9689 |
| 0.565 | 27.7778 | 1500 | 1.1227 | 47.9586 | 22.3906 |
| 0.3036 | 37.0370 | 2000 | 1.2474 | 43.9597 | 21.5689 |
| 0.1954 | 46.2963 | 2500 | 1.3963 | 42.9251 | 20.9569 |
| 0.1336 | 55.5556 | 3000 | 1.5303 | 43.4843 | 21.5514 |
| 0.0999 | 64.8148 | 3500 | 1.4380 | 42.2260 | 20.7355 |
| 0.0797 | 74.0741 | 4000 | 1.5207 | 41.4430 | 20.6422 |
| 0.0648 | 83.3333 | 4500 | 1.5408 | 41.0235 | 20.4557 |
Framework versions
- Transformers 4.40.2
- Pytorch 1.12.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1