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pre_response – AI Model by binayakkoirala | AlphaNeural AI
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binayakkoirala
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pre_response
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safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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pre_response
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1160
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2894
1.0
1294
0.1637
0.1826
2.0
2588
0.1253
0.1676
3.0
3882
0.1160
Framework versions
Transformers 4.39.3
Pytorch 2.4.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2
