transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-xls-r-300m license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec-arabic-V2-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec-arabic-V2-10

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: 0.3686
- Wer: 0.0763
- Per: 0.0613

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 22.0067       | 1.0   | 164  | 5.5136          | 1.0    | 1.0    |
| 3.7377        | 2.0   | 328  | 3.2749          | 1.0    | 1.0    |
| 3.2647        | 3.0   | 492  | 3.3163          | 1.0    | 1.0    |
| 3.2513        | 4.0   | 656  | 3.2319          | 1.0    | 1.0    |
| 3.2314        | 5.0   | 820  | 3.2902          | 1.0    | 1.0    |
| 3.1754        | 6.0   | 984  | 3.0334          | 1.0    | 1.0    |
| 2.8137        | 7.0   | 1148 | 2.5538          | 0.9930 | 0.9959 |
| 2.1146        | 8.0   | 1312 | 1.6577          | 0.6542 | 0.6458 |
| 1.2679        | 9.0   | 1476 | 0.8287          | 0.2089 | 0.1803 |
| 0.6981        | 10.0  | 1640 | 0.5801          | 0.1423 | 0.1229 |
| 0.4737        | 11.0  | 1804 | 0.4867          | 0.1219 | 0.1017 |
| 0.3733        | 12.0  | 1968 | 0.4482          | 0.1098 | 0.0929 |
| 0.2913        | 13.0  | 2132 | 0.4176          | 0.1092 | 0.0933 |
| 0.2358        | 14.0  | 2296 | 0.4200          | 0.1084 | 0.0915 |
| 0.2196        | 15.0  | 2460 | 0.3999          | 0.0987 | 0.0824 |
| 0.1845        | 16.0  | 2624 | 0.3993          | 0.1006 | 0.0826 |
| 0.1831        | 17.0  | 2788 | 0.3812          | 0.0810 | 0.0653 |
| 0.1629        | 18.0  | 2952 | 0.3676          | 0.0785 | 0.0636 |
| 0.1578        | 19.0  | 3116 | 0.3679          | 0.0806 | 0.0658 |
| 0.1317        | 20.0  | 3280 | 0.3686          | 0.0763 | 0.0613 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
