t5_base_race_cosmos_qa

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

• Loss: 0.4414
• Accuracy: 0.7424

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: 0.0001
• train_batch_size: 8
• 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_steps: 100
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4355	1.0	10984	0.3910	0.7072
0.3233	2.0	21968	0.3833	0.7321
0.229	3.0	32952	0.4414	0.7424

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0
• Datasets 1.12.1
• Tokenizers 0.10.3