t5_large_race_cosmos_qa

This model is a fine-tuned version of t5-large on the race dataset. It achieves the following results on the evaluation set:

• Loss: 0.4382
• Accuracy: 0.8023

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.3513	1.0	10983	0.7714	0.3165
0.2109	2.0	21966	0.7986	0.3329
0.0929	3.0	32949	0.4382	0.8023

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0
• Datasets 1.14.0
• Tokenizers 0.10.3