metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: nia037-k2e_asr-scoring_wav2vec2-xls-r-300m_001
results: []
nia037-k2e_asr-scoring_wav2vec2-xls-r-300m_001
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: 1.3285
- Per: 0.1553
- Pcc: 0.5941
- Ctc Loss: 0.4571
- Mse Loss: 0.8435
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: 4
- eval_batch_size: 1
- seed: 1111
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 750
- training_steps: 7500
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Pcc | Ctc Loss | Mse Loss |
|---|---|---|---|---|---|---|---|
| 16.8126 | 1.01 | 750 | 4.5828 | 0.9890 | 0.4831 | 3.7272 | 1.0554 |
| 4.3091 | 2.02 | 1500 | 3.9355 | 0.9627 | 0.5450 | 3.5438 | 0.8425 |
| 3.8448 | 3.02 | 2250 | 3.0227 | 0.7172 | 0.5510 | 2.5638 | 0.8462 |
| 2.2291 | 4.03 | 3000 | 1.6022 | 0.2220 | 0.5692 | 0.6960 | 0.8338 |
| 1.6362 | 5.04 | 3750 | 1.4686 | 0.1785 | 0.5888 | 0.5407 | 0.8311 |
| 1.4014 | 6.05 | 4500 | 1.3709 | 0.1676 | 0.6016 | 0.4993 | 0.7934 |
| 1.1905 | 7.06 | 5250 | 1.3089 | 0.1609 | 0.5990 | 0.4759 | 0.7807 |
| 1.0064 | 8.06 | 6000 | 1.3754 | 0.1574 | 0.5915 | 0.4659 | 0.8560 |
| 0.8526 | 9.07 | 6750 | 1.3020 | 0.1563 | 0.6048 | 0.4602 | 0.8179 |
| 0.7319 | 10.08 | 7500 | 1.3285 | 0.1553 | 0.5941 | 0.4571 | 0.8435 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.2