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update model card README.md
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README.md
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---
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language:
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- bg
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_7_0
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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-bulgarian
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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-bulgarian
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BG dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4487
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- Wer: 0.4674
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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: 7e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 100.0
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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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| 2.9774 | 6.33 | 500 | 2.9769 | 1.0 |
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| 1.3453 | 12.66 | 1000 | 0.6523 | 0.6980 |
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| 1.1658 | 18.99 | 1500 | 0.5636 | 0.6359 |
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| 1.0797 | 25.32 | 2000 | 0.5004 | 0.5759 |
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| 1.044 | 31.65 | 2500 | 0.4958 | 0.5569 |
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| 0.9915 | 37.97 | 3000 | 0.4971 | 0.5350 |
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| 0.9429 | 44.3 | 3500 | 0.4829 | 0.5229 |
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| 0.9266 | 50.63 | 4000 | 0.4515 | 0.5074 |
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| 0.8965 | 56.96 | 4500 | 0.4599 | 0.5039 |
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| 0.878 | 63.29 | 5000 | 0.4735 | 0.4954 |
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| 0.8494 | 69.62 | 5500 | 0.4460 | 0.4878 |
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| 0.8343 | 75.95 | 6000 | 0.4510 | 0.4795 |
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| 0.8236 | 82.28 | 6500 | 0.4538 | 0.4789 |
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| 0.8069 | 88.61 | 7000 | 0.4526 | 0.4748 |
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| 0.7958 | 94.94 | 7500 | 0.4496 | 0.4700 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.17.1.dev0
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- Tokenizers 0.11.0
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