End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-conformer-rel-pos-large
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-conformer-large-cv13
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: ja
+      split: test[:10%]
+      args: ja
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.961053330382828
+---
+
+<!-- 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-conformer-large-cv13
+
+This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3295
+- Wer: 0.9611
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 8.4756        | 1.0   | 715  | 5.7619          | 1.0    |
+| 5.6554        | 2.0   | 1430 | 5.7260          | 1.0    |
+| 5.4654        | 3.0   | 2146 | 5.5588          | 0.9993 |
+| 5.421         | 4.0   | 2861 | 5.5970          | 0.9918 |
+| 5.3141        | 5.0   | 3577 | 5.4359          | 0.9794 |
+| 5.2603        | 6.0   | 4292 | 5.4187          | 0.9792 |
+| 5.1834        | 7.0   | 5008 | 5.3865          | 0.9785 |
+| 5.1195        | 8.0   | 5723 | 5.3875          | 0.9661 |
+| 5.0788        | 9.0   | 6438 | 5.3399          | 0.9668 |
+| 4.9988        | 9.99  | 7150 | 5.3295          | 0.9611 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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