best-grade-model-2

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: 0.1227

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• 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: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
0.3132	0.7782	200	0.2220
0.209	1.5564	400	0.1610
0.1776	2.3346	600	0.1551
0.1264	3.1128	800	0.1392
0.1467	3.8911	1000	0.1292
0.1108	4.6693	1200	0.1286
0.1009	5.4475	1400	0.1257
0.0983	6.2257	1600	0.1263
0.0904	7.0039	1800	0.1212
0.0856	7.7821	2000	0.1227

Framework versions

• PEFT 0.17.1
• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0