update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: legal_long_legal_ver2_test_sm
+  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_long_legal_ver2_test_sm
+
+This model is a fine-tuned version of [kiddothe2b/legal-longformer-base](https://huggingface.co/kiddothe2b/legal-longformer-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7379
+- Accuracy: 0.5519
+- Precision: 0.5139
+- Recall: 0.5663
+- F1: 0.5388
+- D-index: 1.2690
+
+## 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: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | D-index |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| No log        | 0.98  | 26   | 0.6957          | 0.4599   | 0.44      | 0.6173 | 0.5138 | 1.1026  |
+| No log        | 2.0   | 53   | 0.6960          | 0.4528   | 0.4262    | 0.5306 | 0.4727 | 1.0831  |
+| No log        | 2.98  | 79   | 0.6978          | 0.4481   | 0.4312    | 0.6071 | 0.5042 | 1.0794  |
+| No log        | 4.0   | 106  | 0.7232          | 0.4788   | 0.4622    | 0.7806 | 0.5806 | 1.1493  |
+| No log        | 4.98  | 132  | 0.7340          | 0.5189   | 0.4828    | 0.5714 | 0.5234 | 1.2095  |
+| No log        | 6.0   | 159  | 0.8623          | 0.5425   | 0.5049    | 0.5255 | 0.515  | 1.2493  |
+| No log        | 6.98  | 185  | 1.2325          | 0.5448   | 0.5116    | 0.3367 | 0.4062 | 1.2412  |
+| No log        | 8.0   | 212  | 1.4773          | 0.5165   | 0.4717    | 0.3827 | 0.4225 | 1.1925  |
+| No log        | 8.98  | 238  | 1.6199          | 0.5330   | 0.4941    | 0.4286 | 0.4590 | 1.2258  |
+| No log        | 10.0  | 265  | 1.8976          | 0.5259   | 0.4900    | 0.6276 | 0.5503 | 1.2261  |
+| No log        | 10.98 | 291  | 2.1687          | 0.4953   | 0.4622    | 0.5612 | 0.5069 | 1.1653  |
+| No log        | 12.0  | 318  | 2.3087          | 0.4882   | 0.4578    | 0.5816 | 0.5124 | 1.1535  |
+| No log        | 12.98 | 344  | 2.5168          | 0.4953   | 0.4667    | 0.6429 | 0.5408 | 1.1708  |
+| No log        | 14.0  | 371  | 2.5389          | 0.5142   | 0.4788    | 0.5765 | 0.5231 | 1.2012  |
+| No log        | 14.98 | 397  | 2.4224          | 0.5330   | 0.4957    | 0.5918 | 0.5395 | 1.2366  |
+| No log        | 16.0  | 424  | 2.6391          | 0.5212   | 0.4852    | 0.5867 | 0.5312 | 1.2148  |
+| No log        | 16.98 | 450  | 2.7235          | 0.5307   | 0.4932    | 0.5510 | 0.5205 | 1.2297  |
+| No log        | 18.0  | 477  | 2.7272          | 0.5425   | 0.5045    | 0.5765 | 0.5381 | 1.2527  |
+| 0.2333        | 18.98 | 503  | 2.7222          | 0.5495   | 0.5117    | 0.5561 | 0.5330 | 1.2641  |
+| 0.2333        | 19.62 | 520  | 2.7379          | 0.5519   | 0.5139    | 0.5663 | 0.5388 | 1.2690  |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.1+cu116
+- Datasets 2.11.0
+- Tokenizers 0.13.2