flan-t5-base

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: 0.3838

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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.1956	1.0	11	0.4254
0.2138	2.0	22	0.4112
0.2396	3.0	33	0.3885
0.2296	4.0	44	0.4118
0.251	5.0	55	0.4139
0.2495	6.0	66	0.3773
0.2411	7.0	77	0.3881
0.25	8.0	88	0.3865
0.244	9.0	99	0.3999
0.2501	10.0	110	0.4156
0.2367	11.0	121	0.3965
0.2312	12.0	132	0.3904
0.243	13.0	143	0.3893
0.2597	14.0	154	0.3839
0.2193	15.0	165	0.3838

Framework versions

• PEFT 0.14.0
• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.0
• Tokenizers 0.21.0