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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-large-xlsr-53
datasets:
- xtreme_s
metrics:
- wer
model-index:
- name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: xtreme_s
type: xtreme_s
config: fleurs.id_id
split: test
args: fleurs.id_id
metrics:
- type: wer
value: 0.9842089507558749
name: Wer
---
<!-- 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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3012
- Wer: 0.9842
## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 39 | 2.8812 | 1.0 |
| No log | 2.0 | 78 | 2.8688 | 1.0 |
| No log | 3.0 | 117 | 2.8722 | 1.0 |
| No log | 4.0 | 156 | 2.8640 | 1.0 |
| No log | 5.0 | 195 | 2.8447 | 1.0 |
| No log | 6.0 | 234 | 2.8468 | 1.0 |
| No log | 7.0 | 273 | 2.8465 | 1.0 |
| No log | 8.0 | 312 | 2.8488 | 1.0 |
| No log | 9.0 | 351 | 2.8355 | 1.0 |
| No log | 10.0 | 390 | 2.8167 | 1.0 |
| No log | 11.0 | 429 | 2.8076 | 1.0 |
| No log | 12.0 | 468 | 2.7065 | 1.0 |
| 2.9881 | 13.0 | 507 | 2.5506 | 1.0 |
| 2.9881 | 14.0 | 546 | 2.2657 | 1.0 |
| 2.9881 | 15.0 | 585 | 1.9921 | 1.0 |
| 2.9881 | 16.0 | 624 | 1.7390 | 1.0 |
| 2.9881 | 17.0 | 663 | 1.5309 | 1.0 |
| 2.9881 | 18.0 | 702 | 1.4300 | 0.9994 |
| 2.9881 | 19.0 | 741 | 1.3280 | 0.9938 |
| 2.9881 | 20.0 | 780 | 1.3012 | 0.9842 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|