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Dyslexia-T5-Small – AI Model by workaroundliteracy | AlphaNeural AI
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Dyslexia-T5-Small
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peft
safetensors
adapter
lora
transformers
google-t5/t5-small
adapter
apache-2.0
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Dyslexia-T5-Small
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1865
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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2262
1.0
1013
0.1974
0.2086
2.0
2026
0.1886
0.2062
3.0
3039
0.1865
Framework versions
PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
