---
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: []
---

<!-- 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. -->

# W2V2_Bert_BIG-C_BEMBA_5hr_v1

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/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