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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: s300_shuff100
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/priyanshipal/huggingface/runs/0evkescz)
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# s300_shuff100
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5066
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- Cer: 0.3096
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- Wer: 0.4357
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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: 0.0006
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 300
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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_steps: 500
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- training_steps: 1000
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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 | Cer | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 0.9856 | 1.6 | 1000 | 1.5066 | 0.3096 | 0.4357 |
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### Framework versions
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- Transformers 4.43.1
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- Pytorch 2.4.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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