flan-t5-xl-sharded-bf16-absa-rest

This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2486

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

Training results

Training Loss	Epoch	Step	Validation Loss
3.693	0.52	100	1.2103
0.8793	1.05	200	0.3548
0.499	1.57	300	0.2831
0.4324	2.09	400	0.2611
0.3993	2.62	500	0.2486

Framework versions

• PEFT 0.7.1
• Transformers 4.36.1
• Pytorch 2.0.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2