flan-t5-base_Adapters

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

• Loss: 1.0702

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6034	0.1688	50	1.3534
1.44	0.3376	100	1.2534
1.39	0.5063	150	1.2045
1.3075	0.6751	200	1.1710
1.2984	0.8439	250	1.1482
1.2933	1.0127	300	1.1500
1.2286	1.1814	350	1.1385
1.206	1.3502	400	1.1237
1.2097	1.5190	450	1.1112
1.1982	1.6878	500	1.1074
1.2451	1.8565	550	1.0894
1.1447	2.0253	600	1.1006
1.1324	2.1941	650	1.0787
1.137	2.3629	700	1.0798
1.14	2.5316	750	1.0739
1.1112	2.7004	800	1.0694
1.1436	2.8692	850	1.0702

Framework versions

• PEFT 0.12.0
• Transformers 4.43.2
• Pytorch 2.1.0
• Datasets 2.20.0
• Tokenizers 0.19.1