1.3 KiB
1.3 KiB
base_model, tags, datasets, model-index
| base_model | tags | datasets | model-index | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0 |
|
|
|
w2v-bert-2.0-portuguese-colab-CV16.0
This model is a fine-tuned version of ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0 on the common_voice_16_0 dataset.
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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1