End of training

README.md

@@ -15,84 +15,85 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 2.8943
-- eval_Accuracy: 0.4776
-- eval_F1_macro: 0.0386
+- eval_loss: 0.4956
+- eval_Accuracy: 0.9035
+- eval_F1_macro: 0.5229
 - eval_F1_class_0: 0.0
 - eval_F1_class_1: 0.0
-- eval_F1_class_2: 0.8328
-- eval_F1_class_3: 0.0
-- eval_F1_class_4: 0.6490
-- eval_F1_class_5: 0.0
+- eval_F1_class_2: 0.9289
+- eval_F1_class_3: 0.6667
+- eval_F1_class_4: 0.9910
+- eval_F1_class_5: 0.6667
 - eval_F1_class_6: 0.0
-- eval_F1_class_7: 0.0
+- eval_F1_class_7: 0.5
 - eval_F1_class_8: 0.0
 - eval_F1_class_9: 0.0
 - eval_F1_class_10: 0.0
-- eval_F1_class_11: 0.0
-- eval_F1_class_12: 0.0
-- eval_F1_class_13: 0.7524
-- eval_F1_class_14: 0.0
-- eval_F1_class_15: 0.0
-- eval_F1_class_16: 0.0
-- eval_F1_class_17: 0.0
-- eval_F1_class_18: 0.0
-- eval_F1_class_19: 0.0
-- eval_F1_class_20: 0.0
-- eval_F1_class_21: 0.0
+- eval_F1_class_11: 0.9
+- eval_F1_class_12: 0.6
+- eval_F1_class_13: 0.9645
+- eval_F1_class_14: 0.7500
+- eval_F1_class_15: 0.8667
+- eval_F1_class_16: 0.9302
+- eval_F1_class_17: 1.0
+- eval_F1_class_18: 0.8605
+- eval_F1_class_19: 0.6667
+- eval_F1_class_20: 0.9508
+- eval_F1_class_21: 0.7692
 - eval_F1_class_22: 0.0
-- eval_F1_class_23: 0.0
-- eval_F1_class_24: 0.0
-- eval_F1_class_25: 0.0
-- eval_F1_class_26: 0.0
-- eval_F1_class_27: 0.0
+- eval_F1_class_23: 0.6667
+- eval_F1_class_24: 0.8333
+- eval_F1_class_25: 0.5714
+- eval_F1_class_26: 0.9231
+- eval_F1_class_27: 0.9828
 - eval_F1_class_28: 0.0
-- eval_F1_class_29: 0.0
+- eval_F1_class_29: 0.9500
 - eval_F1_class_30: 0.0
 - eval_F1_class_31: 0.0
-- eval_F1_class_32: 0.0
-- eval_F1_class_33: 0.0
-- eval_F1_class_34: 0.0
-- eval_F1_class_35: 0.0
-- eval_F1_class_36: 0.0
-- eval_F1_class_37: 0.0
-- eval_F1_class_38: 0.0
-- eval_F1_class_39: 0.0
+- eval_F1_class_32: 0.5
+- eval_F1_class_33: 0.5
+- eval_F1_class_34: 0.8571
+- eval_F1_class_35: 0.8547
+- eval_F1_class_36: 0.8727
+- eval_F1_class_37: 0.5
+- eval_F1_class_38: 0.8837
+- eval_F1_class_39: 0.7619
 - eval_F1_class_40: 0.0
-- eval_F1_class_41: 0.0
+- eval_F1_class_41: 0.4444
 - eval_F1_class_42: 0.0
 - eval_F1_class_43: 0.0
 - eval_F1_class_44: 0.0
-- eval_F1_class_45: 0.0
-- eval_F1_class_46: 0.0
-- eval_F1_class_47: 0.0
-- eval_F1_class_48: 0.0
-- eval_F1_class_49: 0.0
-- eval_F1_class_50: 0.0
+- eval_F1_class_45: 0.7500
+- eval_F1_class_46: 0.3333
+- eval_F1_class_47: 0.7556
+- eval_F1_class_48: 0.8679
+- eval_F1_class_49: 1.0
+- eval_F1_class_50: 0.8571
 - eval_F1_class_51: 0.0
 - eval_F1_class_52: 0.0
-- eval_F1_class_53: 0.0
-- eval_F1_class_54: 0.0
+- eval_F1_class_53: 0.8
+- eval_F1_class_54: 0.4
 - eval_F1_class_55: 0.0
-- eval_F1_class_56: 0.0
+- eval_F1_class_56: 0.9082
 - eval_F1_class_57: 0.0
-- eval_F1_class_58: 0.0
-- eval_F1_class_59: 0.0
+- eval_F1_class_58: 0.6667
+- eval_F1_class_59: 1.0
 - eval_F1_class_60: 0.0
-- eval_F1_class_61: 0.4711
-- eval_F1_class_62: 0.0
+- eval_F1_class_61: 0.0
+- eval_F1_class_62: 0.9747
 - eval_F1_class_63: 0.0
-- eval_F1_class_64: 0.0
-- eval_F1_class_65: 0.0
-- eval_F1_class_66: 0.0
+- eval_F1_class_64: 0.8966
+- eval_F1_class_65: 1.0
+- eval_F1_class_66: 0.8
 - eval_F1_class_67: 0.0
 - eval_F1_class_68: 0.0
 - eval_F1_class_69: 0.0
-- eval_runtime: 61.6591
-- eval_samples_per_second: 32.258
-- eval_steps_per_second: 2.027
-- epoch: 0.1
-- step: 50
+- eval_F1_class_70: 1.0
+- eval_runtime: 61.7038
+- eval_samples_per_second: 32.235
+- eval_steps_per_second: 2.026
+- epoch: 6.64
+- step: 3300
 
 ## Model description
 
@@ -117,7 +118,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Framework versions
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d5ed6082de5f02cd2147898c234e0361547e7609b07ab4df84b7bb5da48a9187
 size 438264945