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results – AI Model by dadrshan | AlphaNeural AI
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results
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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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This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9391
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.853
0.9999
3754
2.0875
1.6838
1.9999
7508
1.9806
1.6136
2.9998
11262
1.9391
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
