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---
license: apache-2.0
base_model: ad019el/tamasheq-99-1
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2
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. -->
# tamasheq-99-2
This model is a fine-tuned version of [ad019el/tamasheq-99-1](https://huggingface.co/ad019el/tamasheq-99-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3479
- Wer: 0.4957
## 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: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.3118 | 6.0 | 300 | 0.8477 | 0.8593 |
| 0.4823 | 12.0 | 600 | 0.3741 | 0.5064 |
| 0.2054 | 18.0 | 900 | 0.3855 | 0.5027 |
| 0.1798 | 24.0 | 1200 | 0.3700 | 0.5023 |
| 0.2097 | 30.0 | 1500 | 0.3479 | 0.4957 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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