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focal_loss_exp – AI Model by NCPhat2005 | AlphaNeural AI
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focal_loss_exp
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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focal_loss_exp
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1142
F1 Macro: 32.1053
Gen Len: 6.0029
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: 0.0002
train_batch_size: 16
eval_batch_size: 16
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: constant
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Macro
Gen Len
0.1329
1.0
2494
0.1170
33.0589
5.9413
0.11
2.0
4988
0.1038
32.2483
6.0022
0.0883
3.0
7482
0.1142
32.1053
6.0029
Framework versions
Transformers 4.50.0
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.21.0
