End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: XLS-R-demo-google-colab-Ezra_William_Prod_1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: id
+      split: validation
+      args: id
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.5410194506445588
+---
+
+<!-- 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. -->
+
+# XLS-R-demo-google-colab-Ezra_William_Prod_1
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6266
+- Wer: 0.5410
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.5357        | 1.0   | 121  | 2.9681          | 1.0    |
+| 2.9324        | 2.0   | 242  | 2.8618          | 1.0    |
+| 2.8708        | 3.0   | 363  | 2.4604          | 1.0    |
+| 2.4605        | 4.0   | 484  | 0.8385          | 0.7171 |
+| 0.5712        | 5.0   | 605  | 0.6917          | 0.6913 |
+| 0.4235        | 6.0   | 726  | 0.6216          | 0.6121 |
+| 0.3508        | 7.0   | 847  | 0.5942          | 0.5765 |
+| 0.2953        | 8.0   | 968  | 0.6049          | 0.5710 |
+| 0.2543        | 9.0   | 1089 | 0.6319          | 0.5605 |
+| 0.1985        | 10.0  | 1210 | 0.6327          | 0.5544 |
+| 0.1819        | 11.0  | 1331 | 0.6229          | 0.5412 |
+| 0.1745        | 12.0  | 1452 | 0.6266          | 0.5410 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul06_13-19-47_8f2372e65c3a/events.out.tfevents.1720272041.8f2372e65c3a.358.0

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