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_Versi2
results: []
Model_S_P_Wav2Vec2_Versi2
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: 2.2422
- Wer: 0.6012
- Cer: 0.2488
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 |
|---|---|---|---|---|---|
| 3.8621 | 4.17 | 400 | 2.0001 | 0.8875 | 0.3540 |
| 0.7188 | 8.33 | 800 | 1.7482 | 0.6799 | 0.2826 |
| 0.4024 | 12.5 | 1200 | 2.0649 | 0.6533 | 0.2723 |
| 0.2796 | 16.67 | 1600 | 1.9127 | 0.6452 | 0.2666 |
| 0.2053 | 20.83 | 2000 | 1.8885 | 0.6095 | 0.2555 |
| 0.1523 | 25.0 | 2400 | 2.0067 | 0.6168 | 0.2569 |
| 0.105 | 29.17 | 2800 | 2.2422 | 0.6012 | 0.2488 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 1.18.3
- Tokenizers 0.13.3