metadata
library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: W2V2_Bert_BIG-C_BEMBA_5hr_v1
results: []
W2V2_Bert_BIG-C_BEMBA_5hr_v1
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.4852
- Cer: 0.1215
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: 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: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.7125 | 1.0 | 80 | inf | 0.8011 | 0.2453 |
| 0.9662 | 2.0 | 160 | inf | 0.6760 | 0.1957 |
| 0.8283 | 3.0 | 240 | inf | 0.5605 | 0.1560 |
| 0.747 | 4.0 | 320 | inf | 0.6229 | 0.2060 |
| 0.6936 | 5.0 | 400 | inf | 0.6425 | 0.1831 |
| 0.6788 | 6.0 | 480 | inf | 0.5411 | 0.1585 |
| 0.6271 | 7.0 | 560 | inf | 0.5229 | 0.1509 |
| 0.7234 | 8.0 | 640 | inf | 0.6888 | 0.2353 |
| 1.1405 | 9.0 | 720 | inf | 0.9791 | 0.5775 |
| 2.4003 | 10.0 | 800 | inf | 0.9988 | 0.9226 |
| 2.6328 | 11.0 | 880 | inf | 0.9986 | 0.9117 |
| 2.9233 | 12.0 | 960 | inf | 1.0 | 0.9986 |
| 3.6687 | 13.0 | 1040 | inf | 1.0 | 0.9970 |
| 3.6827 | 14.0 | 1120 | inf | 1.0 | 0.9970 |
| 3.6799 | 15.0 | 1200 | inf | 1.0 | 0.9970 |
| 3.65 | 16.0 | 1280 | inf | 1.0 | 0.9970 |
| 3.6764 | 17.0 | 1360 | inf | 1.0 | 0.9970 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1