byt5-small-mtop

This model is a fine-tuned version of google/byt5-small on the mtop dataset. It achieves the following results on the evaluation set:

• Loss: 0.0697
• Exact Match: 0.7620

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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match
0.5431	6.65	200	0.1532	0.0940
0.073	13.33	400	0.0697	0.2823
0.0247	19.98	600	0.0721	0.3007
0.0128	26.65	800	0.0863	0.3038
0.0082	33.33	1000	0.0950	0.3078
0.0051	39.98	1200	0.0994	0.3029
0.0036	46.65	1400	0.1046	0.3074
0.0027	53.33	1600	0.1022	0.3087
0.0022	59.98	1800	0.1067	0.3096
0.0016	66.65	2000	0.1081	0.3101
0.0011	73.33	2200	0.1141	0.3105
0.0008	79.98	2400	0.1170	0.3074
0.0007	86.65	2600	0.1198	0.3083
0.0006	93.33	2800	0.1212	0.3083
0.0005	99.98	3000	0.1218	0.3087

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu117
• Datasets 2.7.0
• Tokenizers 0.13.2