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_11_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-kyrgyz-colab
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: ky
+      split: test
+      args: ky
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.26476260446321975
+---
+
+<!-- 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-kyrgyz-colab
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2952
+- Wer: 0.2648
+
+## 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: 1e-05
+- train_batch_size: 2
+- 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: 200
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 9.9224        | 0.29  | 500  | 3.9047          | 1.0023 |
+| 3.3028        | 0.59  | 1000 | 2.7653          | 0.9997 |
+| 2.4414        | 0.88  | 1500 | 1.1551          | 0.6330 |
+| 1.5571        | 1.18  | 2000 | 0.5679          | 0.3712 |
+| 1.2479        | 1.47  | 2500 | 0.4202          | 0.3291 |
+| 1.0857        | 1.76  | 3000 | 0.3655          | 0.3105 |
+| 1.0304        | 2.06  | 3500 | 0.3392          | 0.3007 |
+| 0.9989        | 2.35  | 4000 | 0.3245          | 0.2909 |
+| 0.9711        | 2.65  | 4500 | 0.3157          | 0.2825 |
+| 0.9371        | 2.94  | 5000 | 0.3093          | 0.2764 |
+| 0.9423        | 3.24  | 5500 | 0.3047          | 0.2732 |
+| 0.9226        | 3.53  | 6000 | 0.3017          | 0.2715 |
+| 0.9365        | 3.82  | 6500 | 0.2990          | 0.2689 |
+| 0.8969        | 4.12  | 7000 | 0.2971          | 0.2668 |
+| 0.9101        | 4.41  | 7500 | 0.2961          | 0.2644 |
+| 0.9044        | 4.71  | 8000 | 0.2954          | 0.2642 |
+| 0.902         | 5.0   | 8500 | 0.2952          | 0.2648 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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runs/Jan08_05-38-24_dgx-1/events.out.tfevents.1704692409.dgx-1

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