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flan-t5-agnews-lora – AI Model by Sujith2121 | AlphaNeural AI
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Sujith2121
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flan-t5-agnews-lora
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peft
safetensors
adapter
lora
transformers
google/flan-t5-base
apache-2.0
us
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flan-t5-agnews-lora
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 8.7370
Accuracy: 0.8835
Precision: 0.9547
Recall: 0.8835
F1: 0.9156
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
9.7021
1.0
625
9.0882
0.6955
0.6118
0.6955
0.6413
9.3249
2.0
1250
8.8031
0.884
0.9537
0.884
0.9153
9.2210
3.0
1875
8.7370
0.8835
0.9547
0.8835
0.9156
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
