---
library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v-bert-cv-grain-lg_both
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# w2v-bert-cv-grain-lg_both

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 16.2243
- Wer: 1.0
- Cer: 1.0

## 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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.4609        | 1.0   | 5406  | 0.1400          | 0.1423 | 0.0296 |
| 0.2829        | 2.0   | 10812 | 0.1133          | 0.0968 | 0.0213 |
| 0.2369        | 3.0   | 16218 | 0.1033          | 0.0883 | 0.0193 |
| 0.2106        | 4.0   | 21624 | 0.0848          | 0.0681 | 0.0162 |
| 0.197         | 5.0   | 27030 | 0.0871          | 0.0681 | 0.0159 |
| 0.2459        | 6.0   | 32436 | 0.1335          | 0.1022 | 0.0203 |
| 0.3563        | 7.0   | 37842 | 0.1809          | 0.1254 | 0.0267 |
| 0.6033        | 8.0   | 43248 | 0.5575          | 0.7032 | 0.1768 |
| 4.656         | 9.0   | 48654 | 16.9063         | 0.9980 | 0.9837 |
| 10.5595       | 10.0  | 54060 | 12.4706         | 1.0    | 1.0    |
| 17.1148       | 11.0  | 59466 | 16.2280         | 1.0    | 1.0    |
| 17.4223       | 12.0  | 64872 | 16.2273         | 1.0    | 1.0    |
| 17.4172       | 13.0  | 70278 | 16.2222         | 1.0    | 1.0    |
| 17.4159       | 14.0  | 75684 | 16.2243         | 1.0    | 1.0    |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1