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--- |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: NewSpeechModel-V3.0 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: fleurs |
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type: fleurs |
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config: so_so |
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split: validation |
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args: so_so |
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metrics: |
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- type: wer |
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value: 1.0 |
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name: Wer |
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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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# NewSpeechModel-V3.0 |
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This model was trained from scratch on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8201 |
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- Wer: 1.0 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 40 |
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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_steps: 50 |
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- num_epochs: 1 |
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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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| 18.0665 | 0.0960 | 10 | 11.8649 | 1.0 | |
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| 9.3649 | 0.1919 | 20 | 4.3831 | 1.0 | |
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| 3.9649 | 0.2879 | 30 | 8.1376 | 1.0 | |
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| 4.9612 | 0.3839 | 40 | 2.9464 | 1.0 | |
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| 2.8949 | 0.4798 | 50 | 2.8598 | 1.0 | |
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| 2.9052 | 0.5758 | 60 | 2.8362 | 1.0 | |
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| 2.8514 | 0.6718 | 70 | 2.8395 | 1.0 | |
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| 3.1088 | 0.7678 | 80 | 2.8443 | 1.0 | |
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| 2.8454 | 0.8637 | 90 | 2.8211 | 1.0 | |
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| 2.8211 | 0.9597 | 100 | 2.8201 | 1.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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