tiny-vanilla-target-glue-rte

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8038
• Accuracy: 0.6209

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6551	6.41	500	0.6433	0.6209
0.4807	12.82	1000	0.7432	0.6245
0.3119	19.23	1500	0.8938	0.6173
0.1942	25.64	2000	1.0436	0.6426
0.1191	32.05	2500	1.3376	0.6209
0.0889	38.46	3000	1.5793	0.6101
0.0561	44.87	3500	1.8038	0.6209

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu116
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2