metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
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-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4319
- Wer: 0.6128
- Cer: 0.2545
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 |
|---|---|---|---|---|---|
| 3.9619 | 4.17 | 400 | 2.3149 | 0.9821 | 0.4309 |
| 0.9083 | 8.33 | 800 | 1.8261 | 0.7469 | 0.3068 |
| 0.4814 | 12.5 | 1200 | 1.8669 | 0.7004 | 0.2909 |
| 0.3331 | 16.67 | 1600 | 2.2705 | 0.6705 | 0.2814 |
| 0.2352 | 20.83 | 2000 | 2.3172 | 0.6234 | 0.2607 |
| 0.1776 | 25.0 | 2400 | 2.2959 | 0.6174 | 0.2553 |
| 0.1122 | 29.17 | 2800 | 2.4319 | 0.6128 | 0.2545 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 1.18.3
- Tokenizers 0.13.3