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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: pratyush_whisper_small_distil_libri360_enc_6_dec_4_batch_4_epoch_2_try2
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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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# pratyush_whisper_small_distil_libri360_enc_6_dec_4_batch_4_epoch_2_try2
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7423
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- Wer: 9.7882
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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: 0.0005
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- train_batch_size: 4
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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: 1024
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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: 2
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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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| 2.8038 | 0.25 | 50 | 2.7934 | 11.8801 |
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| 2.8683 | 0.49 | 100 | 2.8112 | 13.4039 |
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| 2.8987 | 0.74 | 150 | 2.8008 | 11.8782 |
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| 2.884 | 0.98 | 200 | 2.7877 | 11.1632 |
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| 2.8539 | 1.23 | 250 | 2.7721 | 10.6549 |
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| 2.8348 | 1.48 | 300 | 2.7557 | 10.3250 |
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| 2.8261 | 1.72 | 350 | 2.7522 | 10.1403 |
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| 2.8161 | 1.97 | 400 | 2.7423 | 9.7882 |
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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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