chethan999/legal-bert-v1

README.md

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+---
+license: apache-2.0
+base_model: bert-large-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: output
+  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. -->
+
+# output
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8310
+- Accuracy: 0.7919
+- Precision: 0.8030
+- Recall: 0.7919
+- F1: 0.7889
+
+## 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: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 495  | 1.0327          | 0.7253   | 0.7362    | 0.7253 | 0.7090 |
+| 1.68          | 2.0   | 990  | 0.8310          | 0.7919   | 0.8030    | 0.7919 | 0.7889 |
+| 0.8242        | 3.0   | 1485 | 0.8599          | 0.8091   | 0.8106    | 0.8091 | 0.8013 |
+| 0.6748        | 4.0   | 1980 | 0.8628          | 0.8263   | 0.8125    | 0.8263 | 0.8158 |
+| 0.4822        | 5.0   | 2475 | 1.0139          | 0.8162   | 0.8065    | 0.8162 | 0.8070 |
+| 0.3781        | 6.0   | 2970 | 1.0535          | 0.8081   | 0.8013    | 0.8081 | 0.8011 |
+| 0.3832        | 7.0   | 3465 | 1.1459          | 0.8081   | 0.8039    | 0.8081 | 0.8034 |
+| 0.3101        | 8.0   | 3960 | 1.3831          | 0.7788   | 0.8079    | 0.7788 | 0.7847 |
+| 0.2665        | 9.0   | 4455 | 1.2051          | 0.8222   | 0.8263    | 0.8222 | 0.8197 |
+| 0.2286        | 10.0  | 4950 | 1.4487          | 0.7980   | 0.8064    | 0.7980 | 0.7962 |
+| 0.2163        | 11.0  | 5445 | 1.4848          | 0.8121   | 0.8240    | 0.8121 | 0.8123 |
+| 0.1965        | 12.0  | 5940 | 1.4572          | 0.7919   | 0.8051    | 0.7919 | 0.7919 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Tokenizers 0.15.0

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