Add SetFit model

README.md

@@ -32,7 +32,7 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.4235294117647059
+      value: 0.38371040723981903
       name: Accuracy
 ---
 
@@ -64,20 +64,20 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
 
 ### Model Labels
-| Label | Examples                                                                                                                                                                                                                                                                                                                                                                                                                                               |
-|:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 4     | <ul><li>'this is a sincerely crafted picture that deserves to emerge from the traffic jam of holiday movies .'</li><li>'e.t. works because its flabbergasting principals , 14-year-old robert macnaughton , 6-year-old drew barrymore and 10-year-old henry thomas , convince us of the existence of the wise , wizened visitor from a faraway planet .'</li><li>'jones has delivered a solidly entertaining and moving family drama .'</li></ul>      |
-| 0     | <ul><li>'nothing more than an amiable but unfocused bagatelle that plays like a loosely-connected string of acting-workshop exercises .'</li><li>'makes a joke out of car chases for an hour and then gives us half an hour of car chases .'</li><li>'in all the annals of the movies , few films have been this odd , inexplicable and unpleasant .'</li></ul>                                                                                        |
-| 2     | <ul><li>'in gleefully , thumpingly hyperbolic terms , it covers just about every cliche in the compendium about crass , jaded movie types and the phony baloney movie biz .'</li><li>"this may be dover kosashvili 's feature directing debut , but it looks an awful lot like life -- gritty , awkward and ironic ."</li><li>"the filmmaker 's heart is in the right place ..."</li></ul>                                                             |
-| 3     | <ul><li>"if you 're as happy listening to movies as you are watching them , and the slow parade of human frailty fascinates you , then you 're at the right film ."</li><li>'a bracing , unblinking work that serves as a painful elegy and sobering cautionary tale .'</li><li>"now as a former gong show addict , i 'll admit it , my only complaint is that we did n't get more re-creations of all those famous moments from the show ."</li></ul> |
-| 1     | <ul><li>"you 'll feel like you ate a reeses without the peanut butter ... '"</li><li>"but , like silence , it 's a movie that gets under your skin ."</li><li>'he seems to want both , but succeeds in making neither .'</li></ul>                                                                                                                                                                                                                     |
+| Label | Examples                                                                                                                                                                                                                                                                                                                                              |
+|:------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 2     | <ul><li>"will no doubt delight plympton 's legion of fans ; others may find 80 minutes of these shenanigans exhausting ."</li><li>"there 's no real reason to see it , and no real reason not to ."</li><li>'in the telling of a story largely untold , bui chooses to produce something that is ultimately suspiciously familiar .'</li></ul>        |
+| 4     | <ul><li>'stevens has a flair for dialogue comedy , the film operates nicely off the element of surprise , and the large cast is solid .'</li><li>'a thought-provoking picture .'</li><li>'arguably the best script that besson has written in years .'</li></ul>                                                                                      |
+| 3     | <ul><li>"trapped presents a frightening and compelling ` what if ? '"</li><li>'cremaster 3 is at once a tough pill to swallow and a minor miracle of self-expression .'</li><li>"toes the fine line between cheese and earnestness remarkably well ; everything is delivered with such conviction that it 's hard not to be carried away ."</li></ul> |
+| 1     | <ul><li>'the laughs are as rare as snake foo yung .'</li><li>'could this be the first major studio production shot on video tape instead of film ?'</li><li>'well , this movie proves you wrong on both counts .'</li></ul>                                                                                                                           |
+| 0     | <ul><li>"... this is n't even a movie we can enjoy as mild escapism ; it is one in which fear and frustration are provoked to intolerable levels ."</li><li>'this kiddie-oriented stinker is so bad that i even caught the gum stuck under my seat trying to sneak out of the theater'</li><li>"as a remake , it 's a pale imitation ."</li></ul>     |
 
 ## Evaluation
 
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.4235   |
+| **all** | 0.3837   |
 
 ## Uses
 
@@ -129,7 +129,7 @@ preds = model("my response to the film is best described as lukewarm .")
 ### Training Set Metrics
 | Training set | Min | Median | Max |
 |:-------------|:----|:-------|:----|
-| Word count   | 3   | 18.325 | 35  |
+| Word count   | 3   | 16.85  | 34  |
 
 | Label | Training Sample Count |
 |:------|:----------------------|
@@ -160,11 +160,11 @@ preds = model("my response to the film is best described as lukewarm .")
 ### Training Results
 | Epoch | Step | Training Loss | Validation Loss |
 |:-----:|:----:|:-------------:|:---------------:|
-| 0.005 | 1    | 0.3225        | -               |
-| 0.25  | 50   | 0.2032        | -               |
-| 0.5   | 100  | 0.0987        | -               |
-| 0.75  | 150  | 0.062         | -               |
-| 1.0   | 200  | 0.016         | -               |
+| 0.005 | 1    | 0.335         | -               |
+| 0.25  | 50   | 0.1776        | -               |
+| 0.5   | 100  | 0.0768        | -               |
+| 0.75  | 150  | 0.0198        | -               |
+| 1.0   | 200  | 0.0072        | -               |
 
 ### Framework Versions
 - Python: 3.8.10

model.safetensors

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model_head.pkl

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