ECHR_test_2

This model is a fine-tuned version of prajjwal1/bert-tiny on the lex_glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.2487
• Macro-f1: 0.4052
• Micro-f1: 0.5660

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro-f1	Micro-f1
0.2056	0.44	500	0.2846	0.3335	0.4763
0.1698	0.89	1000	0.2487	0.4052	0.5660

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1