metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Model_S_P_Wav2Vec2_Versi3
results: []
Model_S_P_Wav2Vec2_Versi3
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4579
- Wer: 0.6186
- Cer: 0.2533
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.8444 | 4.17 | 400 | 1.9681 | 0.8842 | 0.3514 |
| 0.7197 | 8.33 | 800 | 1.7313 | 0.7090 | 0.2870 |
| 0.4068 | 12.5 | 1200 | 2.1924 | 0.6824 | 0.2833 |
| 0.2845 | 16.67 | 1600 | 2.1977 | 0.6562 | 0.2720 |
| 0.2035 | 20.83 | 2000 | 2.0385 | 0.6182 | 0.2553 |
| 0.156 | 25.0 | 2400 | 2.1969 | 0.6172 | 0.2537 |
| 0.1064 | 29.17 | 2800 | 2.4579 | 0.6186 | 0.2533 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 1.18.3
- Tokenizers 0.13.3