metadata
license: apache-2.0
base_model: kresnik/wav2vec2-large-xlsr-korean
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-demo-check32dataset
results: []
wav2vec2-base-timit-demo-check32dataset
This model is a fine-tuned version of kresnik/wav2vec2-large-xlsr-korean on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9876
- Wer: 0.8095
- Cer: 0.4179
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.5272 | 5.0 | 5 | 2.3416 | 0.8333 | 0.4030 |
| 2.5892 | 10.0 | 10 | 2.2228 | 0.8333 | 0.3955 |
| 1.5311 | 15.0 | 15 | 2.1193 | 0.8095 | 0.4030 |
| 0.964 | 20.0 | 20 | 2.0500 | 0.7857 | 0.4179 |
| 0.8757 | 25.0 | 25 | 2.0115 | 0.7619 | 0.4104 |
| 0.7654 | 30.0 | 30 | 1.9876 | 0.8095 | 0.4179 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1