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
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: legal-bert-base-uncased
+  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. -->
+
+# legal-bert-base-uncased
+
+This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2259
+- Accuracy: 0.2455
+- Precision: 0.0603
+- Recall: 0.2455
+- Precision Macro: 0.0164
+- Recall Macro: 0.0667
+- Macro Fpr: 0.0667
+- Weighted Fpr: 0.1800
+- Weighted Specificity: 0.7545
+- Macro Specificity: 0.9333
+- Weighted Sensitivity: 0.2455
+- Macro Sensitivity: 0.0667
+- F1 Micro: 0.2455
+- F1 Macro: 0.0263
+- F1 Weighted: 0.0968
+
+## 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: 5e-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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Precision Macro | Recall Macro | Macro Fpr | Weighted Fpr | Weighted Specificity | Macro Specificity | Weighted Sensitivity | Macro Sensitivity | F1 Micro | F1 Macro | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---------------:|:------------:|:---------:|:------------:|:--------------------:|:-----------------:|:--------------------:|:-----------------:|:--------:|:--------:|:-----------:|
+| 2.2376        | 1.0   | 643  | 2.2455          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2504        | 2.0   | 1286 | 2.2412          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2292        | 3.0   | 1929 | 2.2300          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.218         | 4.0   | 2572 | 2.2316          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2317        | 5.0   | 3215 | 2.2295          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2355        | 6.0   | 3858 | 2.2310          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2231        | 7.0   | 4501 | 2.2300          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2212        | 8.0   | 5144 | 2.2291          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2318        | 9.0   | 5787 | 2.2258          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+| 2.2128        | 10.0  | 6430 | 2.2259          | 0.2455   | 0.0603    | 0.2455 | 0.0164          | 0.0667       | 0.0667    | 0.1800       | 0.7545               | 0.9333            | 0.2455               | 0.0667            | 0.2455   | 0.0263   | 0.0968      |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "nlpaueb/legal-bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Issue",
+    "1": "Court Discourse",
+    "2": "Conclusion",
+    "3": "Precedent Analysis",
+    "4": "Section Analysis",
+    "5": "Argument by Petitioner",
+    "6": "Fact",
+    "7": "Argument by Respondent",
+    "8": "Ratio",
+    "9": "Appellant",
+    "10": "Respondent",
+    "11": "Argument by Appellant",
+    "12": "Petitioner",
+    "13": "Judge",
+    "14": "Argument by Defendant"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Appellant": 9,
+    "Argument by Appellant": 11,
+    "Argument by Defendant": 14,
+    "Argument by Petitioner": 5,
+    "Argument by Respondent": 7,
+    "Conclusion": 2,
+    "Court Discourse": 1,
+    "Fact": 6,
+    "Issue": 0,
+    "Judge": 13,
+    "Petitioner": 12,
+    "Precedent Analysis": 3,
+    "Ratio": 8,
+    "Respondent": 10,
+    "Section Analysis": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Apr12_17-44-11_b0fca03b936f/events.out.tfevents.1712943869.b0fca03b936f.34.3

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training_args.bin

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