End of training

README.md

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+---
+license: cc-by-sa-4.0
+base_model: nlpaueb/legal-bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: Day2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Day2
+
+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_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_6: 0.0
+- eval_F1_class_7: 0.0
+- 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_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_28: 0.0
+- eval_F1_class_29: 0.0
+- 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_40: 0.0
+- eval_F1_class_41: 0.0
+- 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_51: 0.0
+- eval_F1_class_52: 0.0
+- eval_F1_class_53: 0.0
+- eval_F1_class_54: 0.0
+- eval_F1_class_55: 0.0
+- eval_F1_class_56: 0.0
+- eval_F1_class_57: 0.0
+- eval_F1_class_58: 0.0
+- eval_F1_class_59: 0.0
+- eval_F1_class_60: 0.0
+- eval_F1_class_61: 0.4711
+- eval_F1_class_62: 0.0
+- 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_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
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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