Add SetFit model

README.md

@@ -11,13 +11,15 @@ datasets:
 metrics:
 - accuracy
 widget:
-- text: Waitresses are cunts
-- text: Why are we not allowed to kill christians?
+- text: Are you mentally handicapped or this is your normal form? Both ways kill yourself
+    please.
+- text: American people are dumbass. They don't even know geography
+- text: Put a woman to abuse that fat woman and don’t put a kind guy
+- text: That's what we should do here in a Us survey take them to FEMA camps and put
+    the gas on these people are not coming from starvation destitute bad areas look
+    how they're dressed their well-dressed well fed it's like a trojan horse and it's
+    time we put them in the penal camps and get rid of them make use of the FEMA camp
 - text: LMAO while watching this church burn
-- text: Islam is a religion of peace.........and we will kill anyone that says otherwise..........in
-    the name of Allah of course!
-- text: If only there was a way to get children without having to get women pregnant
-    we had them all ready killed
 pipeline_tag: text-classification
 inference: false
 model-index:
@@ -32,7 +34,7 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.4343163538873995
+      value: 0.44680851063829785
       name: Accuracy
 ---
 
@@ -68,7 +70,7 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.4343   |
+| **all** | 0.4468   |
 
 ## Uses
 
@@ -88,7 +90,7 @@ from setfit import SetFitModel
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("amitprgx/setfit-ethos-multilabel-example")
 # Run inference
-preds = model("Waitresses are cunts")
+preds = model("LMAO while watching this church burn")
 ```
 
 <!--
@@ -120,7 +122,7 @@ preds = model("Waitresses are cunts")
 ### Training Set Metrics
 | Training set | Min | Median  | Max |
 |:-------------|:----|:--------|:----|
-| Word count   | 4   | 18.0312 | 182 |
+| Word count   | 3   | 18.1719 | 87  |
 
 ### Training Hyperparameters
 - batch_size: (16, 16)
@@ -143,10 +145,10 @@ preds = model("Waitresses are cunts")
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0063 | 1    | 0.3271        | -               |
-| 0.3125 | 50   | 0.0719        | -               |
-| 0.625  | 100  | 0.0874        | -               |
-| 0.9375 | 150  | 0.1192        | -               |
+| 0.0063 | 1    | 0.3377        | -               |
+| 0.3125 | 50   | 0.1288        | -               |
+| 0.625  | 100  | 0.0798        | -               |
+| 0.9375 | 150  | 0.1517        | -               |
 
 ### Framework Versions
 - Python: 3.10.12

model.safetensors

@@ -1,3 +1,3 @@
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 size 437967672

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d2ddaa4e093425e1b6e6789ac250dffe6908931065ff61a6ec7d02efcbf6a1c5
 size 52836