---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-Y_pause
  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-Y_pause

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6778
- Cer: 39.4267

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 5.1062        | 0.1290 | 200  | 4.7053          | 100.0   |
| 4.8751        | 0.2581 | 400  | 4.8829          | 100.0   |
| 4.7665        | 0.3871 | 600  | 4.6329          | 98.8781 |
| 4.6575        | 0.5161 | 800  | 4.7058          | 98.4199 |
| 4.2511        | 0.6452 | 1000 | 4.2469          | 90.7777 |
| 3.1636        | 0.7742 | 1200 | 3.3817          | 69.3844 |
| 2.6261        | 0.9032 | 1400 | 2.9457          | 60.4676 |
| 2.1994        | 1.0323 | 1600 | 2.6949          | 56.0092 |
| 1.924         | 1.1613 | 1800 | 2.5125          | 52.3085 |
| 1.7291        | 1.2903 | 2000 | 2.2571          | 49.5653 |
| 1.5934        | 1.4194 | 2200 | 2.0517          | 46.2523 |
| 1.5086        | 1.5484 | 2400 | 2.1590          | 46.3757 |
| 1.4041        | 1.6774 | 2600 | 2.0795          | 46.1407 |
| 1.3266        | 1.8065 | 2800 | 2.1936          | 47.5388 |
| 1.2494        | 1.9355 | 3000 | 2.0095          | 45.1891 |
| 1.1305        | 2.0645 | 3200 | 1.8807          | 43.5092 |
| 1.0493        | 2.1935 | 3400 | 1.7053          | 40.0141 |
| 0.9978        | 2.3226 | 3600 | 1.8685          | 43.1508 |
| 0.9689        | 2.4516 | 3800 | 1.8416          | 41.8938 |
| 0.9527        | 2.5806 | 4000 | 1.7686          | 42.1405 |
| 0.8927        | 2.7097 | 4200 | 1.7281          | 40.0611 |
| 0.8958        | 2.8387 | 4400 | 1.6940          | 39.6264 |
| 0.8855        | 2.9677 | 4600 | 1.6778          | 39.4267 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1