---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-gn-it-colab
  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. -->

# wav2vec2-large-xls-r-300m-gn-it-colab

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9405
- Wer: 0.6307

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.2799        | 3.23  | 400  | 3.1016          | 0.9996 |
| 1.2437        | 6.45  | 800  | 1.0110          | 0.8547 |
| 0.3811        | 9.68  | 1200 | 0.9178          | 0.7471 |
| 0.2215        | 12.9  | 1600 | 0.9287          | 0.7458 |
| 0.1554        | 16.13 | 2000 | 0.9884          | 0.7148 |
| 0.1203        | 19.35 | 2400 | 0.9579          | 0.6854 |
| 0.0937        | 22.58 | 2800 | 0.9581          | 0.6642 |
| 0.074         | 25.81 | 3200 | 0.9350          | 0.6384 |
| 0.0583        | 29.03 | 3600 | 0.9419          | 0.6331 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1