End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_6_1
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-mms-1b-turkish-colab
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_6_1
+      type: common_voice_6_1
+      config: tr
+      split: test
+      args: tr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.9969359615973854
+---
+
+<!-- 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. -->
+
+# wav2vec2-large-mms-1b-turkish-colab
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7935
+- Wer: 0.9969
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.6981        | 0.46  | 100  | 3.9041          | 1.0    |
+| 3.1779        | 0.92  | 200  | 3.4149          | 1.0013 |
+| 2.9829        | 1.38  | 300  | 3.2232          | 0.9953 |
+| 2.9036        | 1.83  | 400  | 3.2925          | 0.9975 |
+| 2.8644        | 2.29  | 500  | 3.0499          | 0.9947 |
+| 2.7934        | 2.75  | 600  | 2.7643          | 0.9983 |
+| 2.6943        | 3.21  | 700  | 2.8921          | 0.9989 |
+| 2.641         | 3.67  | 800  | 2.7935          | 0.9969 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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