Model save

README.md

@@ -0,0 +1,76 @@
+---
+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-20241202125641
+  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-20241202125641
+
+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: 0.0629
+- F1: 0.9126
+- Roc Auc: 0.9528
+- Accuracy: 0.9099
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.3156        | 1.0   | 936   | 0.1257          | 0.7426 | 0.8057  | 0.6152   |
+| 0.0977        | 2.0   | 1872  | 0.0706          | 0.8950 | 0.9376  | 0.8831   |
+| 0.0526        | 3.0   | 2808  | 0.0596          | 0.9000 | 0.9442  | 0.8946   |
+| 0.032         | 4.0   | 3744  | 0.0551          | 0.9081 | 0.9497  | 0.9036   |
+| 0.0226        | 5.0   | 4680  | 0.0632          | 0.8951 | 0.9428  | 0.8909   |
+| 0.0193        | 6.0   | 5616  | 0.0579          | 0.9098 | 0.9510  | 0.9068   |
+| 0.0156        | 7.0   | 6552  | 0.0607          | 0.9086 | 0.9504  | 0.9046   |
+| 0.0129        | 8.0   | 7488  | 0.0611          | 0.9118 | 0.9523  | 0.9080   |
+| 0.0126        | 9.0   | 8424  | 0.0633          | 0.9114 | 0.9529  | 0.9077   |
+| 0.0107        | 10.0  | 9360  | 0.0629          | 0.9126 | 0.9528  | 0.9099   |
+| 0.0084        | 11.0  | 10296 | 0.0654          | 0.9091 | 0.9510  | 0.9058   |
+| 0.0079        | 12.0  | 11232 | 0.0647          | 0.9100 | 0.9521  | 0.9055   |
+| 0.0065        | 13.0  | 12168 | 0.0652          | 0.9102 | 0.9523  | 0.9071   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f378edb75883efd02de9cfe028946aac7aa4054fbd9d3c0a8b6bf8fb6b356611
+oid sha256:c3f9b4fb6a4c961f080e18be61b7368aff1bfc635281a1861c5be9530ae96e77
 size 438005960

runs/Dec02_12-57-11_dd8fdf6124ff/events.out.tfevents.1733149616.dd8fdf6124ff.2341.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5629011ae91bee0daeb9f2a114e6bf028ff611c4cdc5fe29ccd0e04dffeb57c3
+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,