update model card README.md

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+model-index:
+- name: bert-bert-cased-first512-Conflict-SEP
+  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-bert-cased-first512-Conflict-SEP
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6806
+- F1: 0.6088
+- Accuracy: 0.5914
+- Precision: 0.5839
+- Recall: 0.6360
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| 0.7027        | 1.0   | 685  | 0.6956          | 0.6018 | 0.5365   | 0.5275    | 0.7003 |
+| 0.7009        | 2.0   | 1370 | 0.6986          | 0.6667 | 0.5      | 0.5       | 1.0    |
+| 0.7052        | 3.0   | 2055 | 0.6983          | 0.6667 | 0.5      | 0.5       | 1.0    |
+| 0.6987        | 4.0   | 2740 | 0.6830          | 0.5235 | 0.5636   | 0.5764    | 0.4795 |
+| 0.6761        | 5.0   | 3425 | 0.6806          | 0.6088 | 0.5914   | 0.5839    | 0.6360 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1