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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-xlsr-53-rm-vallader-with-lm
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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-xlsr-53-rm-vallader-with-lm
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This model is a fine-tuned version of [anuragshas/wav2vec2-large-xlsr-53-rm-vallader](https://huggingface.co/anuragshas/wav2vec2-large-xlsr-53-rm-vallader) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4552
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- Wer: 0.3206
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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: 7.5e-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_ratio: 0.112
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- num_epochs: 30
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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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| 0.2379 | 3.12 | 100 | 0.4041 | 0.3396 |
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| 0.103 | 6.25 | 200 | 0.4400 | 0.3337 |
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| 0.0664 | 9.38 | 300 | 0.4239 | 0.3315 |
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| 0.0578 | 12.5 | 400 | 0.4303 | 0.3267 |
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| 0.0446 | 15.62 | 500 | 0.4575 | 0.3274 |
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| 0.041 | 18.75 | 600 | 0.4451 | 0.3223 |
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| 0.0402 | 21.88 | 700 | 0.4507 | 0.3206 |
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| 0.0374 | 25.0 | 800 | 0.4649 | 0.3208 |
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| 0.0371 | 28.12 | 900 | 0.4552 | 0.3206 |
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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 1.18.1
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- Tokenizers 0.10.3
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