Model save

README.md

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+---
+license: apache-2.0
+base_model: sentence-transformers/all-mpnet-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: Hub-Report-20240803105920
+  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. -->
+
+# Hub-Report-20240803105920
+
+This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2013
+- F1: 0.7324
+- Roc Auc: 0.8398
+- Accuracy: 0.7131
+
+## 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: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 13
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 277  | 0.3087          | 0.2615 | 0.5753  | 0.1530   |
+| 0.351         | 2.0   | 554  | 0.2457          | 0.5623 | 0.7097  | 0.4357   |
+| 0.351         | 3.0   | 831  | 0.2093          | 0.7073 | 0.8021  | 0.6245   |
+| 0.2034        | 4.0   | 1108 | 0.1998          | 0.6943 | 0.8009  | 0.6276   |
+| 0.2034        | 5.0   | 1385 | 0.1942          | 0.7220 | 0.8252  | 0.6793   |
+| 0.1504        | 6.0   | 1662 | 0.1938          | 0.7205 | 0.8312  | 0.6962   |
+| 0.1504        | 7.0   | 1939 | 0.1952          | 0.7262 | 0.8366  | 0.7078   |
+| 0.1165        | 8.0   | 2216 | 0.2013          | 0.7324 | 0.8398  | 0.7131   |
+| 0.1165        | 9.0   | 2493 | 0.2077          | 0.7130 | 0.8325  | 0.7036   |
+| 0.0956        | 10.0  | 2770 | 0.2041          | 0.7203 | 0.8359  | 0.7078   |
+| 0.0816        | 11.0  | 3047 | 0.2077          | 0.7250 | 0.8396  | 0.7141   |
+| 0.0816        | 12.0  | 3324 | 0.2122          | 0.7148 | 0.8352  | 0.7078   |
+| 0.0708        | 13.0  | 3601 | 0.2112          | 0.7174 | 0.8361  | 0.7068   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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tokenizer.json

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