flan-t5-base-ARv1

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: 0.8087
• Exact Match: 17.1569
• Gen Len: 4.0

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: 0.01
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	Gen Len
0.8486	1.0	4246	0.8367	30.085	3.0
0.8316	2.0	8492	0.8192	17.1569	4.0
0.8266	3.0	12738	0.8136	17.1569	4.0
0.818	4.0	16984	0.8087	17.1569	4.0

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.1
• Datasets 2.19.1
• Tokenizers 0.19.1