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google-t5-samsum-demo – AI Model by jerrodcavanex | AlphaNeural AI
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google-t5-samsum-demo
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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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google-t5-samsum-demo
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0565
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: 1.5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0
label_smoothing_factor: 0.05
Training results
Training Loss
Epoch
Step
Validation Loss
3.6669
1.0
50
3.2129
3.348
2.0
100
3.0831
3.2753
3.0
150
3.0565
Framework versions
Transformers 4.56.2
Pytorch 2.8.0
Datasets 4.1.1
Tokenizers 0.22.1
