update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-10
+  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. -->
+
+# bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-10
+
+This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1038
+
+## 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: 4e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.8891        | 1.0   | 1    | 2.3951          |
+| 3.3236        | 2.0   | 2    | 0.0099          |
+| 2.5181        | 3.0   | 3    | 3.0703          |
+| 2.27          | 4.0   | 4    | 0.0263          |
+| 1.2332        | 5.0   | 5    | 1.4396          |
+| 0.7277        | 6.0   | 6    | 0.0181          |
+| 1.3579        | 7.0   | 7    | 0.0969          |
+| 1.1865        | 8.0   | 8    | 0.0273          |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3