Alan96/ACoRN_Flan-t5-large-popQA

flan-t5-large-popqa-train_005

This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7579
• Model Preparation Time: 0.0129
• Gen Len: 34.2955

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• total_eval_batch_size: 16
• 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Gen Len
0.5664	0.8565	1000	0.7601	0.0129	35.2199
0.5281	1.7126	2000	0.7579	0.0129	34.2955
0.4884	2.5687	3000	0.7601	0.0129	35.6312

Framework versions

• Transformers 4.47.0
• Pytorch 2.4.0
• Datasets 3.2.0
• Tokenizers 0.21.0