metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-jasmin-nl-vl-dia-read-xls-r-300m
results: []
wav2vec2-jasmin-nl-vl-dia-read-xls-r-300m
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3974
- Wer: 1.0894
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.19 | 100 | 4.5749 | 1.0 |
| No log | 2.38 | 200 | 3.2544 | 1.0 |
| No log | 3.57 | 300 | 3.1107 | 1.0001 |
| No log | 4.76 | 400 | 0.9152 | 1.0171 |
| 3.9561 | 5.95 | 500 | 0.6422 | 1.0590 |
| 3.9561 | 7.14 | 600 | 0.4900 | 1.0867 |
| 3.9561 | 8.33 | 700 | 0.4251 | 1.0955 |
| 3.9561 | 9.52 | 800 | 0.4232 | 1.1465 |
| 3.9561 | 10.71 | 900 | 0.4133 | 1.1194 |
| 0.2637 | 11.9 | 1000 | 0.3940 | 1.1307 |
| 0.2637 | 13.1 | 1100 | 0.3943 | 1.0964 |
| 0.2637 | 14.29 | 1200 | 0.3974 | 1.0894 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3