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Full_finetune_agnews – Dataset by Ramu143 | AlphaNeural AI
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Full_finetune_agnews
This model is a fine-tuned version of
google/flan-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.9706
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0
1.0
1500
nan
0.9706
0.0
2.0
3000
nan
0.9706
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
