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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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model-index:
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- name: m-ctc-t-german
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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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# m-ctc-t-german
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This model is a fine-tuned version of [speechbrain/m-ctc-t-large](https://huggingface.co/speechbrain/m-ctc-t-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 14.0387
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- Wer: 1.0000
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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: 448
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- eval_batch_size: 448
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 896
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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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- num_epochs: 3.0
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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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| 3.1883 | 1.0 | 511 | 3.5192 | 1.0 |
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| 3.1097 | 2.0 | 1022 | 11.0713 | 1.0000 |
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| 3.0541 | 3.0 | 1533 | 14.0387 | 1.0000 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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