metadata

license: cc-by-sa-4.0
tags:
  - generated_from_trainer
datasets:
  - lex_glue
model-index:
  - name: ECHR_test_2
    results: []

ECHR_test_2 Task A

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the lex_glue dataset. It achieves the following results on the evaluation set:

Loss: 0.1998
Macro-f1: 0.5295
Micro-f1: 0.6157

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: 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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro-f1	Micro-f1
0.2142	0.44	500	0.2887	0.2391	0.4263
0.172	0.89	1000	0.2672	0.2908	0.4628
0.1737	1.33	1500	0.2612	0.3657	0.5102
0.1581	1.78	2000	0.2412	0.3958	0.5468
0.1509	2.22	2500	0.2264	0.3950	0.5552
0.1606	2.67	3000	0.2342	0.4006	0.5511
0.1491	3.11	3500	0.2176	0.4558	0.5622
0.1392	3.56	4000	0.2454	0.4128	0.5596
0.15	4.0	4500	0.2113	0.4684	0.5874
0.1461	4.44	5000	0.2179	0.4631	0.5815
0.1457	4.89	5500	0.2151	0.4805	0.5949
0.1443	5.33	6000	0.2155	0.5123	0.5917
0.1279	5.78	6500	0.2131	0.4915	0.5998
0.1377	6.22	7000	0.2244	0.4705	0.5944
0.1242	6.67	7500	0.2150	0.5089	0.5918
0.1222	7.11	8000	0.2045	0.4801	0.5981
0.1372	7.56	8500	0.2074	0.5317	0.5962
0.1289	8.0	9000	0.2035	0.5323	0.6126
0.1295	8.44	9500	0.2058	0.5213	0.6073
0.123	8.89	10000	0.2027	0.5486	0.6135
0.1335	9.33	10500	0.1984	0.5442	0.6249
0.1258	9.78	11000	0.1998	0.5295	0.6157

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1