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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-lv-60-espeak-cv-ft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - nb_samtale
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme
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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: nb_samtale
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+ type: nb_samtale
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+ config: annotations
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+ split: test
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+ args: annotations
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.7063259628056816
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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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+ # cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the nb_samtale dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.9174
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+ - Wer: 0.7063
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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: 1e-05
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 50
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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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+ | 3.82 | 16.67 | 100 | 5.2819 | 0.7336 |
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+ | 2.8834 | 33.33 | 200 | 4.9424 | 0.7091 |
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+ | 2.5387 | 50.0 | 300 | 4.9174 | 0.7063 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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