Add SetFit model

README.md

@@ -34,16 +34,16 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.8947368421052632
+      value: 0.8421052631578947
       name: Accuracy
     - type: precision
-      value: 0.9020833333333332
+      value: 0.8238095238095239
       name: Precision
     - type: recall
-      value: 0.6666666666666666
+      value: 0.6436781609195402
       name: Recall
     - type: f1
-      value: 0.7260307998012916
+      value: 0.6768796175575836
       name: F1
 ---
 
@@ -86,7 +86,7 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Metrics
 | Label   | Accuracy | Precision | Recall | F1     |
 |:--------|:---------|:----------|:-------|:-------|
-| **all** | 0.8947   | 0.9021    | 0.6667 | 0.7260 |
+| **all** | 0.8421   | 0.8238    | 0.6437 | 0.6769 |
 
 ## Uses
 
@@ -173,18 +173,18 @@ preds = model("it contradicted itself")
 | 0.2632 | 100  | 0.1836        | -               |
 | 0.3947 | 150  | 0.0803        | -               |
 | 0.5263 | 200  | 0.016         | -               |
-| 0.6579 | 250  | 0.0061        | -               |
-| 0.7895 | 300  | 0.0015        | -               |
+| 0.6579 | 250  | 0.0062        | -               |
+| 0.7895 | 300  | 0.0016        | -               |
 | 0.9211 | 350  | 0.0028        | -               |
 | 1.0526 | 400  | 0.0006        | -               |
-| 1.1842 | 450  | 0.002         | -               |
+| 1.1842 | 450  | 0.0019        | -               |
 | 1.3158 | 500  | 0.0013        | -               |
 | 1.4474 | 550  | 0.0012        | -               |
 | 1.5789 | 600  | 0.0003        | -               |
 | 1.7105 | 650  | 0.0003        | -               |
 | 1.8421 | 700  | 0.0002        | -               |
 | 1.9737 | 750  | 0.0002        | -               |
-| 2.1053 | 800  | 0.0002        | -               |
+| 2.1053 | 800  | 0.0001        | -               |
 | 2.2368 | 850  | 0.0001        | -               |
 | 2.3684 | 900  | 0.0001        | -               |
 | 2.5    | 950  | 0.0001        | -               |
@@ -220,8 +220,8 @@ preds = model("it contradicted itself")
 | 6.4474 | 2450 | 0.0001        | -               |
 | 6.5789 | 2500 | 0.0001        | -               |
 | 6.7105 | 2550 | 0.0001        | -               |
-| 6.8421 | 2600 | 0.0004        | -               |
-| 6.9737 | 2650 | 0.0013        | -               |
+| 6.8421 | 2600 | 0.0001        | -               |
+| 6.9737 | 2650 | 0.0001        | -               |
 | 7.1053 | 2700 | 0.0001        | -               |
 | 7.2368 | 2750 | 0.0001        | -               |
 | 7.3684 | 2800 | 0.0001        | -               |
@@ -233,12 +233,12 @@ preds = model("it contradicted itself")
 | 8.1579 | 3100 | 0.0001        | -               |
 | 8.2895 | 3150 | 0.0001        | -               |
 | 8.4211 | 3200 | 0.0001        | -               |
-| 8.5526 | 3250 | 0.0001        | -               |
+| 8.5526 | 3250 | 0.0           | -               |
 | 8.6842 | 3300 | 0.0001        | -               |
 | 8.8158 | 3350 | 0.0001        | -               |
 | 8.9474 | 3400 | 0.0001        | -               |
-| 9.0789 | 3450 | 0.0001        | -               |
-| 9.2105 | 3500 | 0.0001        | -               |
+| 9.0789 | 3450 | 0.0           | -               |
+| 9.2105 | 3500 | 0.0           | -               |
 | 9.3421 | 3550 | 0.0           | -               |
 | 9.4737 | 3600 | 0.0001        | -               |
 | 9.6053 | 3650 | 0.0001        | -               |

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d10167c2f8e2fa6d9be0b7ad6a1ac478bf9f0991692e14c1873719dcd4de1d4
+oid sha256:78e9c05b1a6371b2835cca3f7b00cb72894e6d80b350f78ae2849f9111476085
 size 437967672

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb06704b44ebcd040be5d1ddb17060d40357cace73ce6961774020a9d4cd9d53
+oid sha256:d1167cafb1d56dc5beb298f6d211d78a09d161820cccc1f3a5a28af35cbecb85
 size 19855