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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-large-xls-r-300m-greek
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results: []
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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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# wav2vec2-large-xls-r-300m-greek
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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 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6162
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- Wer: 0.4844
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 32
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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: 64
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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: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 9.3471 | 3.44 | 200 | 3.5142 | 1.0 |
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| 3.336 | 6.89 | 400 | 3.1611 | 1.0 |
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| 1.4519 | 10.34 | 600 | 0.8532 | 0.7749 |
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| 0.4291 | 13.79 | 800 | 0.6484 | 0.6025 |
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| 0.2284 | 17.24 | 1000 | 0.6525 | 0.5365 |
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| 0.1456 | 20.68 | 1200 | 0.6245 | 0.5118 |
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| 0.0924 | 24.14 | 1400 | 0.6550 | 0.4952 |
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| 0.071 | 27.58 | 1600 | 0.6162 | 0.4844 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.10.3
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