metadata
library_name: transformers
license: apache-2.0
base_model: Osolon/wav2vec2-large-xls-r-300m-pl
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: test_pelby_v3
results: []
test_pelby_v3
This model is a fine-tuned version of Osolon/wav2vec2-large-xls-r-300m-pl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.0850
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2464 | 0.1241 | 400 | inf | 0.2219 |
| 0.2056 | 0.2481 | 800 | inf | 0.1526 |
| 0.1711 | 0.3722 | 1200 | inf | 0.1356 |
| 0.1399 | 0.4963 | 1600 | inf | 0.1103 |
| 0.1453 | 0.6203 | 2000 | inf | 0.1087 |
| 0.1221 | 0.7444 | 2400 | inf | 0.0938 |
| 0.1122 | 0.8685 | 2800 | inf | 0.0877 |
| 0.109 | 0.9926 | 3200 | inf | 0.0850 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1