End of training

README.md

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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: 2.8309
+- 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 6.2404        | 15.79 | 300  | 2.8309          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3