Add SetFit model

README.md

@@ -32,7 +32,7 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.4447963800904977
+      value: 0.416289592760181
       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                                                                                                                                                                                                                                                                                                                                                                                                                                               |
-|:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 2     | <ul><li>"a farce of a parody of a comedy of a premise , it is n't a comparison to reality so much as it is a commentary about our knowledge of films ."</li><li>'mild , meandering teen flick .'</li><li>'wanker goths are on the loose !'</li></ul>                                                                                                                                                                                                   |
-| 4     | <ul><li>"the first tunisian film i have ever seen , and it 's also probably the most good-hearted yet sensual entertainment i 'm likely to see all year ."</li><li>"the film 's intimate camera work and searing performances pull us deep into the girls ' confusion and pain as they struggle tragically to comprehend the chasm of knowledge that 's opened between them ."</li><li>'the film is small in scope , yet perfectly formed .'</li></ul> |
-| 0     | <ul><li>'priggish , lethargically paced parable of renewal .'</li><li>"not at all clear what it 's trying to say and even if it were -- i doubt it would be all that interesting ."</li><li>'an unfortunate title for a film that has nothing endearing about it .'</li></ul>                                                                                                                                                                          |
-| 3     | <ul><li>"you may leave the theater with more questions than answers , but darned if your toes wo n't still be tapping ."</li><li>'an alternately fascinating and frustrating documentary .'</li><li>'instead of hitting the audience over the head with a moral , schrader relies on subtle ironies and visual devices to convey point of view .'</li></ul>                                                                                            |
-| 1     | <ul><li>"it 's not so much a movie as a joint promotion for the national basketball association and teenaged rap and adolescent poster-boy lil ' bow wow ."</li><li>'just the sort of lazy tearjerker that gives movies about ordinary folk a bad name .'</li><li>'well , this movie proves you wrong on both counts .'</li></ul>                                                                                                                      |
+| Label | Examples                                                                                                                                                                                                                                                                                                                                                                        |
+|:------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 3     | <ul><li>'an indispensable peek at the art and the agony of making people laugh .'</li><li>"there 's a lot to recommend read my lips ."</li><li>'but it also has many of the things that made the first one charming .'</li></ul>                                                                                                                                                |
+| 1     | <ul><li>'a baffling mixed platter of gritty realism and magic realism with a hard-to-swallow premise .'</li><li>'each scene drags , underscoring the obvious , and sentiment is slathered on top .'</li><li>'even bigger and more ambitious than the first installment , spy kids 2 looks as if it were made by a highly gifted 12-year-old instead of a grown man .'</li></ul> |
+| 4     | <ul><li>'about schmidt is undoubtedly one of the finest films of the year .'</li><li>'a compelling pre-wwii drama with vivid characters and a warm , moving message .'</li><li>'twenty years later , e.t. is still a cinematic touchstone .'</li></ul>                                                                                                                          |
+| 2     | <ul><li>'an unremarkable , modern action\\/comedy buddy movie whose only nod to nostalgia is in the title .'</li><li>'a movie that seems motivated more by a desire to match mortarboards with dead poets society and good will hunting than by its own story .'</li><li>"i ca n't ."</li></ul>                                                                                 |
+| 0     | <ul><li>'... about as exciting to watch as two last-place basketball teams playing one another on the final day of the season .'</li><li>'... no charm , no laughs , no fun , no reason to watch .'</li><li>'this one aims for the toilet and scores a direct hit .'</li></ul>                                                                                                  |
 
 ## Evaluation
 
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.4448   |
+| **all** | 0.4163   |
 
 ## 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   | 2   | 20.45  | 43  |
+| Word count   | 4   | 16.2   | 35  |
 
 | 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    | 0.1967        | -               |
-| 0.25  | 50   | 0.0658        | -               |
-| 0.5   | 100  | 0.0883        | -               |
-| 0.75  | 150  | 0.0385        | -               |
-| 1.0   | 200  | 0.0112        | -               |
+| 0.005 | 1    | 0.2435        | -               |
+| 0.25  | 50   | 0.1137        | -               |
+| 0.5   | 100  | 0.0018        | -               |
+| 0.75  | 150  | 0.0049        | -               |
+| 1.0   | 200  | 0.0026        | -               |
 
 ### Framework Versions
 - Python: 3.8.10

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95e416560e074dc17e9fbee59c703068574823f439b0737c703c45ca5eb7bf06
+oid sha256:c65de1f71dc1e3ebc0ce95488ba957e7bbbdf842a3a854911648b49452e2fc1f
 size 437967672

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0cb5f3766813b6ee0814984253a139cc3b1aa25d2737c1d30147d4602320ac6e
+oid sha256:b6f745d47a3afb02d7be17651d710631f584869c34e4072f7f0be6de043a261c
 size 31631