---
tags:
- generated_from_trainer
model-index:
- name: w2v2bert-test
  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. -->

# w2v2bert-test

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0736
- eval_model_preparation_time: 0.0141
- eval_wer: 0.6051
- eval_runtime: 1.6517
- eval_samples_per_second: 13.319
- eval_steps_per_second: 1.816
- step: 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: 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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.43.4
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.19.1