Model save

README.md

@@ -0,0 +1,74 @@
+---
+base_model: Kevinger/setfit-hub-report
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: Hub-Repoop-1706130115
+  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-Repoop-1706130115
+
+This model is a fine-tuned version of [Kevinger/setfit-hub-report](https://huggingface.co/Kevinger/setfit-hub-report) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1746
+- F1: 0.7727
+- Roc Auc: 0.8666
+- Accuracy: 0.7637
+
+## 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  | 0.3104          | 0.0    | 0.5     | 0.0      |
+| 0.3599        | 2.0   | 554  | 0.2312          | 0.5624 | 0.7027  | 0.4135   |
+| 0.3599        | 3.0   | 831  | 0.1897          | 0.7479 | 0.8275  | 0.6730   |
+| 0.2035        | 4.0   | 1108 | 0.1768          | 0.7645 | 0.8546  | 0.7363   |
+| 0.2035        | 5.0   | 1385 | 0.1760          | 0.7649 | 0.8579  | 0.7447   |
+| 0.1422        | 6.0   | 1662 | 0.1788          | 0.7559 | 0.8562  | 0.7447   |
+| 0.1422        | 7.0   | 1939 | 0.1766          | 0.7633 | 0.8617  | 0.7553   |
+| 0.1096        | 8.0   | 2216 | 0.1746          | 0.7727 | 0.8666  | 0.7637   |
+| 0.1096        | 9.0   | 2493 | 0.1891          | 0.7457 | 0.8511  | 0.7363   |
+| 0.0891        | 10.0  | 2770 | 0.1855          | 0.7524 | 0.8540  | 0.7405   |
+| 0.0769        | 11.0  | 3047 | 0.1824          | 0.7655 | 0.8629  | 0.7574   |
+| 0.0769        | 12.0  | 3324 | 0.1835          | 0.7655 | 0.8629  | 0.7532   |
+| 0.0706        | 13.0  | 3601 | 0.1867          | 0.7604 | 0.8603  | 0.7511   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d0dc2c74ff718e63417c12b3fb3cf999c04dde5b85229fdba6d749b9300f3ab
+oid sha256:2b4afdfdfaeb3d90eb9e0176bada086091bc944f9c8e1a6be1a8e55cfa8df783
 size 437993656

runs/Jan24_21-02-28_fa6cdd9e7bef/events.out.tfevents.1706130732.fa6cdd9e7bef.2645.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d938ce67ee0be4248c3b13ca73bacae9da37c58d879d7cede0e451cd43b56e26
+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,