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gee – AI Model by Shreeyut | AlphaNeural AI
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Shreeyut
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gee
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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gee
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0576
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: 8
eval_batch_size: 8
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
0.1981
1.0
1280
0.0820
0.0933
2.0
2560
0.0617
0.084
3.0
3840
0.0576
Framework versions
Transformers 4.43.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1
