darinchau/checkpoints
04
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checkpoints
This model is a fine-tuned version of darinchau/checkpoints on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8289
- eval_cer: 79.9622
- eval_runtime: 31.6459
- evalsamplesper_second: 3.16
- evalstepsper_second: 0.221
- epoch: 35.11
- step: 3300
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 4000
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0