metadata
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2_bert_ru
results: []
w2v2_bert_ru
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.0538
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.711 | 0.73 | 300 | inf | 0.1267 |
| 0.1026 | 1.46 | 600 | inf | 0.0925 |
| 0.0748 | 2.18 | 900 | inf | 0.0732 |
| 0.0591 | 2.91 | 1200 | inf | 0.0710 |
| 0.0437 | 3.64 | 1500 | inf | 0.0675 |
| 0.0382 | 4.37 | 1800 | inf | 0.0675 |
| 0.0302 | 5.1 | 2100 | inf | 0.0620 |
| 0.0243 | 5.83 | 2400 | inf | 0.0590 |
| 0.0219 | 6.55 | 2700 | inf | 0.0584 |
| 0.0173 | 7.28 | 3000 | inf | 0.0577 |
| 0.015 | 8.01 | 3300 | inf | 0.0560 |
| 0.0115 | 8.74 | 3600 | inf | 0.0551 |
| 0.0099 | 9.47 | 3900 | inf | 0.0538 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1