Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: sentence-transformers/all-mpnet-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: Hub-Report-20241130161450
+  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-20241130161450
+
+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: 0.0618
+- F1: 0.9067
+- Roc Auc: 0.9492
+- Accuracy: 0.9023
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 13
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.315         | 1.0   | 502  | 0.2049          | 0.0    | 0.5     | 0.0      |
+| 0.1619        | 2.0   | 1004 | 0.1230          | 0.7725 | 0.8300  | 0.6651   |
+| 0.0952        | 3.0   | 1506 | 0.0808          | 0.9009 | 0.9401  | 0.8878   |
+| 0.0607        | 4.0   | 2008 | 0.0725          | 0.8861 | 0.9350  | 0.8797   |
+| 0.0427        | 5.0   | 2510 | 0.0612          | 0.9017 | 0.9461  | 0.8983   |
+| 0.0307        | 6.0   | 3012 | 0.0619          | 0.8948 | 0.9418  | 0.8907   |
+| 0.0247        | 7.0   | 3514 | 0.0629          | 0.8983 | 0.9437  | 0.8930   |
+| 0.0195        | 8.0   | 4016 | 0.0633          | 0.8979 | 0.9442  | 0.8953   |
+| 0.017         | 9.0   | 4518 | 0.0603          | 0.9052 | 0.9480  | 0.9017   |
+| 0.0149        | 10.0  | 5020 | 0.0633          | 0.9022 | 0.9462  | 0.9      |
+| 0.0137        | 11.0  | 5522 | 0.0619          | 0.9040 | 0.9474  | 0.9017   |
+| 0.0127        | 12.0  | 6024 | 0.0616          | 0.9042 | 0.9482  | 0.8994   |
+| 0.0121        | 13.0  | 6526 | 0.0618          | 0.9067 | 0.9492  | 0.9023   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Nov30_16-14-55_72584dce5ca3/events.out.tfevents.1732986190.72584dce5ca3.3875.2

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+oid sha256:da5483cc41bbb74fdfd0de88f3d805dc6332d5673cd248f55b7de646db3117a2
+size 508

tokenizer.json

@@ -1,21 +1,7 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 256,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
-  "padding": {
-    "strategy": {
-      "Fixed": 256
-    },
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 1,
-    "pad_type_id": 0,
-    "pad_token": "<pad>"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,