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update model card README.md
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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-or
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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-or
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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: 1.6618
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- Wer: 0.5166
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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: 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_ratio: 0.12
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- num_epochs: 240
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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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| 6.0493 | 23.53 | 400 | 2.9728 | 1.0 |
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| 0.5306 | 47.06 | 800 | 1.2895 | 0.6138 |
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| 0.1253 | 70.59 | 1200 | 1.6854 | 0.5703 |
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| 0.0763 | 94.12 | 1600 | 1.9433 | 0.5870 |
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| 0.0552 | 117.65 | 2000 | 1.4393 | 0.5575 |
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| 0.0382 | 141.18 | 2400 | 1.4665 | 0.5537 |
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| 0.0286 | 164.71 | 2800 | 1.5441 | 0.5320 |
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| 0.0212 | 188.24 | 3200 | 1.6502 | 0.5115 |
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| 0.0168 | 211.76 | 3600 | 1.6411 | 0.5332 |
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| 0.0129 | 235.29 | 4000 | 1.6618 | 0.5166 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.0
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- Tokenizers 0.10.3
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