update model card README.md

README.md

@@ -1,3 +1,68 @@
 ---
-license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: M12-BirtSimilarity-Mix-With-GlossBERT
+  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. -->
+
+# M12-BirtSimilarity-Mix-With-GlossBERT
+
+This model is a fine-tuned version of [aomar85/M12-BERT-SIMILIARITY](https://huggingface.co/aomar85/M12-BERT-SIMILIARITY) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2815
+- Accuracy: 0.9172
+- Precision: 0.8973
+- Recall: 0.9348
+- F1: 0.9157
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2469        | 1.0   | 59883  | 0.2437          | 0.9159   | 0.8847    | 0.9488 | 0.9156 |
+| 0.2302        | 2.0   | 119766 | 0.2884          | 0.9172   | 0.8862    | 0.9496 | 0.9168 |
+| 0.2201        | 3.0   | 179649 | 0.2552          | 0.9177   | 0.8953    | 0.9385 | 0.9164 |
+| 0.2045        | 4.0   | 239532 | 0.2815          | 0.9172   | 0.8973    | 0.9348 | 0.9157 |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1