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---
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-pashto-colab-test-6
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: audiofolder
type: audiofolder
config: default
split: train
args: default
metrics:
- name: Wer
type: wer
value: 1.0
---
<!-- 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-pashto-colab-test-6
This model is a fine-tuned version of [rsd16/wav2vec2-large-xlsr-53-fine-tuned-farsi](https://huggingface.co/rsd16/wav2vec2-large-xlsr-53-fine-tuned-farsi) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
## 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: 0.9
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:----------------:|:-----:|:----:|:---------------:|:---:|
| 1860014104903.68 | 0.96 | 100 | nan | 1.0 |
| 0.0 | 1.91 | 200 | nan | 1.0 |
| 0.0 | 2.87 | 300 | nan | 1.0 |
| 0.0 | 3.82 | 400 | nan | 1.0 |
| 0.0 | 4.78 | 500 | nan | 1.0 |
| 0.0 | 5.73 | 600 | nan | 1.0 |
| 0.0 | 6.69 | 700 | nan | 1.0 |
| 0.0 | 7.64 | 800 | nan | 1.0 |
| 0.0 | 8.6 | 900 | nan | 1.0 |
| 0.0 | 9.55 | 1000 | nan | 1.0 |
| 0.0 | 10.51 | 1100 | nan | 1.0 |
| 0.0 | 11.46 | 1200 | nan | 1.0 |
| 0.0 | 12.42 | 1300 | nan | 1.0 |
| 0.0 | 13.37 | 1400 | nan | 1.0 |
| 0.0 | 14.33 | 1500 | nan | 1.0 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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