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t5-l-gn-rtrvl-ruby-1-6 – AI Model by ngocnamk3er | AlphaNeural AI
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t5-l-gn-rtrvl-ruby-1-6
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-l-gn-rtrvl-ruby-1-6
This model is a fine-tuned version of
google-t5/t5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7862
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: 3e-05
train_batch_size: 64
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
0.7397
1.0
530
0.7926
0.7212
2.0
1060
0.7899
0.7124
3.0
1590
0.7836
0.7072
4.0
2120
0.7862
Framework versions
Transformers 4.52.4
Pytorch 2.5.1+cu124
Datasets 3.6.0
Tokenizers 0.21.1
