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t5-training – AI Model by khanhvy31 | AlphaNeural AI
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khanhvy31
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t5-training
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-training
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7143
Mse: 0.3397
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: 5e-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
Mse
1.0303
1.0
392
0.7538
0.3615
0.7436
2.0
784
0.7168
0.3378
0.7185
3.0
1176
0.7143
0.3397
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
