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results – AI Model by chintanchawda | AlphaNeural AI
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chintanchawda
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results
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peft
safetensors
generated_from_trainer
google-t5/t5-small
adapter
apache-2.0
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Model card
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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: 1.0422
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: 0.0001
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2159
1.0
7538
1.0617
1.1556
2.0
15076
1.0461
1.131
3.0
22614
1.0422
Framework versions
PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
