metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Osiris_asr_model
results: []
Osiris_asr_model
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: 3.0600
- 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: 1e-05
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
45.8209 | 50.0 | 50 | 21.0347 | 1.0182 |
10.2898 | 100.0 | 100 | 5.1552 | 1.0 |
5.7188 | 150.0 | 150 | 4.9140 | 1.0 |
5.3358 | 200.0 | 200 | 4.7650 | 1.0 |
5.1381 | 250.0 | 250 | 4.6797 | 1.0 |
4.9841 | 300.0 | 300 | 4.6168 | 1.0 |
4.9255 | 350.0 | 350 | 4.5741 | 1.0 |
4.8353 | 400.0 | 400 | 4.5321 | 1.0 |
4.7704 | 450.0 | 450 | 4.5100 | 1.0 |
4.6257 | 500.0 | 500 | 3.9382 | 1.0 |
3.8106 | 550.0 | 550 | 3.3939 | 1.0 |
3.5095 | 600.0 | 600 | 3.2887 | 1.0 |
3.3716 | 650.0 | 650 | 3.1967 | 1.0 |
3.3025 | 700.0 | 700 | 3.1539 | 1.0 |
3.2532 | 750.0 | 750 | 3.1477 | 1.0 |
3.2086 | 800.0 | 800 | 3.0984 | 1.0 |
3.1889 | 850.0 | 850 | 3.0857 | 1.0 |
3.162 | 900.0 | 900 | 3.0819 | 1.0 |
3.1411 | 950.0 | 950 | 3.0610 | 1.0 |
3.1397 | 1000.0 | 1000 | 3.0600 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0