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---
base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Kabyle_xlsr-finetuned-tamasheq-1
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. -->
# Kabyle_xlsr-finetuned-tamasheq-1
This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3077
- Wer: 0.8414
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.1717 | 15.79 | 300 | 2.8410 | 1.0 |
| 2.1673 | 31.58 | 600 | 1.1010 | 0.8612 |
| 0.7139 | 47.37 | 900 | 1.0831 | 0.8215 |
| 0.4832 | 63.16 | 1200 | 1.1500 | 0.8187 |
| 0.37 | 78.95 | 1500 | 1.2485 | 0.8130 |
| 0.3206 | 94.74 | 1800 | 1.3077 | 0.8414 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|