rc_gale_control

This model is a fine-tuned version of rcgale/psst-apr-baseline on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.6660

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
22.794	3.33	50	3.7917
3.8262	6.67	100	3.6084
3.8023	10.0	150	3.6962
3.7283	13.33	200	3.6746
3.7173	16.67	250	3.6904
3.707	20.0	300	3.6909
3.7075	23.33	350	3.6785
3.6839	26.67	400	3.6769
3.7002	30.0	450	3.6660

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.2