update model card README.md

README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: legal-bert-base-uncased-finetuned-RRamicus
+  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-finetuned-RRamicus
+
+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:
+- Loss: 1.1520
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 928
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.021         | 1.0   | 1118  | 1.3393          |
+| 1.2272        | 2.0   | 2236  | 1.2612          |
+| 1.2467        | 3.0   | 3354  | 1.2403          |
+| 1.2149        | 4.0   | 4472  | 1.2276          |
+| 1.1855        | 5.0   | 5590  | 1.2101          |
+| 1.1674        | 6.0   | 6708  | 1.2020          |
+| 1.1508        | 7.0   | 7826  | 1.1893          |
+| 1.1386        | 8.0   | 8944  | 1.1870          |
+| 1.129         | 9.0   | 10062 | 1.1794          |
+| 1.1193        | 10.0  | 11180 | 1.1759          |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.11.6