metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-tsovatush-demo-colab-bryn-hauk-11-10
results: []
wav2vec2-large-xls-r-300m-tsovatush-demo-colab-bryn-hauk-11-10
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: 1.0335
- Wer: 0.4883
- Cer: 0.1275
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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.9765 | 6.8966 | 400 | 1.4359 | 0.9369 | 0.2946 |
| 1.1792 | 13.7931 | 800 | 0.8249 | 0.5694 | 0.1605 |
| 0.6068 | 20.6897 | 1200 | 0.8757 | 0.5261 | 0.1442 |
| 0.3661 | 27.5862 | 1600 | 0.9834 | 0.5171 | 0.1372 |
| 0.2159 | 34.4828 | 2000 | 0.9937 | 0.5099 | 0.1385 |
| 0.1284 | 41.3793 | 2400 | 1.0792 | 0.5225 | 0.1376 |
| 0.0839 | 48.2759 | 2800 | 1.0335 | 0.4883 | 0.1275 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1