---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-Y_speed_pause2
  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_speed_pause2

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: 1.6467
- Cer: 38.8660

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 35.4246       | 0.1290 | 200  | 5.3966          | 100.0   |
| 5.0597        | 0.2581 | 400  | 4.7304          | 100.0   |
| 4.9257        | 0.3871 | 600  | 4.7995          | 100.0   |
| 4.8261        | 0.5161 | 800  | 4.6200          | 100.0   |
| 4.7176        | 0.6452 | 1000 | 4.5602          | 98.3079 |
| 4.5324        | 0.7742 | 1200 | 4.4388          | 97.9671 |
| 3.7536        | 0.9032 | 1400 | 3.6145          | 73.7427 |
| 2.8505        | 1.0323 | 1600 | 3.0887          | 59.1128 |
| 2.4185        | 1.1613 | 1800 | 2.6231          | 53.6780 |
| 2.1072        | 1.2903 | 2000 | 2.4919          | 52.2679 |
| 1.8961        | 1.4194 | 2200 | 2.3102          | 50.1469 |
| 1.7491        | 1.5484 | 2400 | 2.3485          | 49.7415 |
| 1.5897        | 1.6774 | 2600 | 2.0813          | 45.6580 |
| 1.4517        | 1.8065 | 2800 | 1.9086          | 44.1128 |
| 1.3285        | 1.9355 | 3000 | 1.9665          | 43.8425 |
| 1.2685        | 2.0645 | 3200 | 1.8661          | 43.1845 |
| 1.1435        | 2.1935 | 3400 | 1.8922          | 43.9600 |
| 1.0695        | 2.3226 | 3600 | 1.7025          | 40.4877 |
| 1.0431        | 2.4516 | 3800 | 1.6870          | 39.6357 |
| 0.9992        | 2.5806 | 4000 | 1.7723          | 41.7450 |
| 0.9622        | 2.7097 | 4200 | 1.6614          | 39.0834 |
| 0.9273        | 2.8387 | 4400 | 1.6228          | 38.4724 |
| 0.9176        | 2.9677 | 4600 | 1.6467          | 38.8660 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3