update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: tamasheq-99-8
+  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-99-8
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4990
+- Wer: 0.6059
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 9.617         | 6.0   | 300  | 3.2032          | 1.0    |
+| 2.9621        | 12.0  | 600  | 1.6730          | 1.0339 |
+| 0.9694        | 18.0  | 900  | 0.5657          | 0.6132 |
+| 0.5765        | 24.0  | 1200 | 0.5097          | 0.6052 |
+| 0.505         | 30.0  | 1500 | 0.4990          | 0.6059 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3