t5_small_cosmos_qa

This model is a fine-tuned version of mamlong34/t5_small_race_mutlirc on the cosmos_qa dataset. It achieves the following results on the evaluation set:

• Loss: 0.5614
• Accuracy: 0.6067

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: 1000
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4811	1.0	3158	0.5445	0.5548
0.4428	2.0	6316	0.5302	0.5836
0.3805	3.0	9474	0.5614	0.6067

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.1
• Datasets 1.12.1
• Tokenizers 0.10.3