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baseline_2-seed_123 – AI Model by maud-dr | AlphaNeural AI
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baseline_2-seed_123
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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baseline_2-seed_123
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1243
Precision: 0.5387
Recall: 0.5186
F1: 0.5137
Accuracy: 0.5186
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: 0.0001
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
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1314
1.0
447
0.1277
0.5166
0.4878
0.4683
0.4878
0.1228
2.0
894
0.1243
0.5387
0.5186
0.5137
0.5186
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
