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t5-small-finetuned – AI Model by aksho-sh | AlphaNeural AI
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t5-small-finetuned
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safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
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results
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1994
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2329
1.0
37500
0.2059
0.2302
2.0
75000
0.1994
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Tokenizers 0.19.1
