End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: testing_pretrained_tamasheq_only
+  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. -->
+
+# testing_pretrained_tamasheq_only
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5616
+- Wer: 0.8593
+
+## 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: 250
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 6.486         | 35.29  | 300  | 2.9498          | 1.0    |
+| 2.859         | 70.59  | 600  | 2.7420          | 1.0    |
+| 2.7652        | 105.88 | 900  | 2.7188          | 1.0    |
+| 2.6354        | 141.18 | 1200 | 2.2511          | 1.0    |
+| 1.9486        | 176.47 | 1500 | 1.5854          | 0.9111 |
+| 1.3512        | 211.76 | 1800 | 1.5616          | 0.8593 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3