EzraWilliam commited on
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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_13_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: XLS-R-demo-google-colab-Ezra_William_Prod_3
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common_voice_13_0
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+ type: common_voice_13_0
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+ config: id
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+ split: validation
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+ args: id
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 1.0
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # XLS-R-demo-google-colab-Ezra_William_Prod_3
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3315
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+ - Wer: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 5.5808 | 1.0 | 121 | 2.9812 | 1.0 |
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+ | 2.9599 | 2.0 | 242 | 2.9396 | 1.0 |
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+ | 2.9317 | 3.0 | 363 | 2.9082 | 1.0 |
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+ | 2.9194 | 4.0 | 484 | 2.9076 | 1.0 |
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+ | 2.9058 | 5.0 | 605 | 2.8958 | 1.0 |
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+ | 2.8962 | 6.0 | 726 | 2.8816 | 1.0 |
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+ | 2.8732 | 7.0 | 847 | 2.8341 | 1.0 |
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+ | 2.8555 | 8.0 | 968 | 2.6998 | 1.0 |
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+ | 2.7654 | 9.0 | 1089 | 2.4282 | 1.0 |
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+ | 2.4844 | 10.0 | 1210 | 2.3315 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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