---
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
model-index:
- name: bs_32_adapter_head_l23_const_lr_1e-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bs_32_adapter_head_l23_const_lr_1e-3

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8753
- eval_wer: 1.0722
- eval_cer: 0.2745
- eval_runtime: 222.9507
- eval_samples_per_second: 19.202
- eval_steps_per_second: 2.404
- epoch: 30.7692
- step: 5000

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1