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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: subh_w2lm_base_distill_noisy_teacher_mozilla_epochs_50_batch_16
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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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# subh_w2lm_base_distill_noisy_teacher_mozilla_epochs_50_batch_16
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This model is a fine-tuned version of [rohitp1/ws_w2lm_base_plus_finetune_teacher_noise_mozilla_100_epochs_batch_8](https://huggingface.co/rohitp1/ws_w2lm_base_plus_finetune_teacher_noise_mozilla_100_epochs_batch_8) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4070
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- Wer: 0.3226
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 256
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- total_train_batch_size: 4096
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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: 0.2
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- num_epochs: 50
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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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| 0.1283 | 7.31 | 250 | 0.3295 | 0.3266 |
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| 0.1111 | 14.63 | 500 | 0.3444 | 0.3236 |
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| 0.0939 | 21.94 | 750 | 0.3664 | 0.3236 |
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| 0.0826 | 29.26 | 1000 | 0.3828 | 0.3224 |
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| 0.0751 | 36.57 | 1250 | 0.3977 | 0.3223 |
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| 0.0703 | 43.89 | 1500 | 0.4070 | 0.3226 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 1.12.1
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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