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: all-mpnet-base-v2-20240102
+  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. -->
+
+# all-mpnet-base-v2-20240102
+
+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: 0.1930
+- F1: 0.7429
+- Roc Auc: 0.8143
+- Accuracy: 0.6406
+
+## 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: 11
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 109  | 0.3929          | 0.0    | 0.5     | 0.0      |
+| No log        | 2.0   | 218  | 0.3159          | 0.0    | 0.5     | 0.0      |
+| No log        | 3.0   | 327  | 0.2721          | 0.5170 | 0.6766  | 0.3564   |
+| No log        | 4.0   | 436  | 0.2410          | 0.6267 | 0.7382  | 0.4854   |
+| 0.3349        | 5.0   | 545  | 0.2238          | 0.6389 | 0.7415  | 0.4889   |
+| 0.3349        | 6.0   | 654  | 0.2115          | 0.6564 | 0.7538  | 0.5156   |
+| 0.3349        | 7.0   | 763  | 0.2005          | 0.6985 | 0.7824  | 0.5749   |
+| 0.3349        | 8.0   | 872  | 0.1930          | 0.7429 | 0.8143  | 0.6406   |
+| 0.3349        | 9.0   | 981  | 0.1903          | 0.7413 | 0.8161  | 0.6461   |
+| 0.1716        | 10.0  | 1090 | 0.1879          | 0.7379 | 0.8170  | 0.6500   |
+| 0.1716        | 11.0  | 1199 | 0.1879          | 0.7359 | 0.8141  | 0.6431   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

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runs/Jan02_19-19-30_9659d4f1569a/events.out.tfevents.1704223518.9659d4f1569a.4428.3

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tokenizer.json

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 {
   "version": "1.0",
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-    "pad_type_id": 0,
-    "pad_token": "<pad>"
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   "added_tokens": [
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