metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- bemgen
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-300m-bemgen-combined-hp-tuning-test-model
results: []
xls-r-300m-bemgen-combined-hp-tuning-test-model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the BEMGEN - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.3925
- Wer: 0.4224
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: 0.0005819322340474784
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 2.7986 | 100 | 2.9112 | 1.0 |
| No log | 5.5704 | 200 | 1.6968 | 0.9971 |
| No log | 8.3422 | 300 | 0.3893 | 0.6158 |
| No log | 11.1141 | 400 | 0.3453 | 0.5107 |
| 31.2339 | 13.9127 | 500 | 0.3384 | 0.4909 |
| 31.2339 | 16.6845 | 600 | 0.3592 | 0.4619 |
| 31.2339 | 19.4563 | 700 | 0.3676 | 0.4336 |
| 31.2339 | 22.2282 | 800 | 0.3925 | 0.4228 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0