metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: base
results: []
base
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6689
- Wer: 31.2258
- Cer: 13.9975
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: 2700
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.3822 | 1.4 | 500 | 2.9318 | 100.0 | 99.3341 |
| 2.7693 | 2.81 | 1000 | 1.7387 | 90.0629 | 50.4533 |
| 0.9915 | 4.21 | 1500 | 0.7714 | 41.5179 | 18.1139 |
| 0.6189 | 5.62 | 2000 | 0.7052 | 35.2091 | 15.8310 |
| 0.4696 | 7.02 | 2500 | 0.6689 | 31.2258 | 13.9975 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2