baseline_3-seed_2025
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: 3.5377
- Precision: 0.3859
- Recall: 0.4167
- F1: 0.4007
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 2025
- 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: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
---|---|---|---|---|---|---|
0.6258 | 1.0 | 447 | 0.8530 | 0.4362 | 0.5942 | 0.5031 |
0.6041 | 2.0 | 894 | 1.0887 | 0.4151 | 0.3188 | 0.3607 |
0.5717 | 3.0 | 1341 | 1.0252 | 0.4206 | 0.5761 | 0.4862 |
0.5455 | 4.0 | 1788 | 1.2918 | 0.4265 | 0.6304 | 0.5088 |
0.4904 | 5.0 | 2235 | 1.9671 | 0.4 | 0.4565 | 0.4264 |
0.4739 | 6.0 | 2682 | 1.7556 | 0.4039 | 0.5254 | 0.4567 |
0.4421 | 7.0 | 3129 | 2.4087 | 0.3928 | 0.5109 | 0.4441 |
0.4086 | 8.0 | 3576 | 2.2270 | 0.3970 | 0.4746 | 0.4323 |
0.427 | 9.0 | 4023 | 2.3055 | 0.3668 | 0.3841 | 0.3752 |
0.4233 | 10.0 | 4470 | 2.5657 | 0.3969 | 0.4674 | 0.4293 |
0.3891 | 11.0 | 4917 | 2.6900 | 0.3724 | 0.3913 | 0.3816 |
0.2841 | 12.0 | 5364 | 2.9719 | 0.3811 | 0.4239 | 0.4014 |
0.3323 | 13.0 | 5811 | 3.1814 | 0.3905 | 0.4457 | 0.4162 |
0.3462 | 14.0 | 6258 | 3.3791 | 0.3838 | 0.4130 | 0.3979 |
0.3005 | 15.0 | 6705 | 3.5377 | 0.3859 | 0.4167 | 0.4007 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
google/flan-t5-base