CI: модель обучена и загружена (fda865a)

2_Dense/model.safetensors

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3_Dense/model.safetensors

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README.md

@@ -5,10 +5,10 @@ tags:
 - text-classification
 - generated_from_setfit_trainer
 widget:
-- text: заставляю давать лапу
+- text: робот может бегать
 - text: пора показать лапу
 - text: привяжи робота 1
-- text: робот поднимись
+- text: часто вращается
 - text: примите положение лежа
 metrics:
 - accuracy
@@ -79,9 +79,9 @@ Then you can load this model and run inference.
 from setfit import SetFitModel
 
 # Download from the 🤗 Hub
-model = SetFitModel.from_pretrained("tmp8a80_nwv/panda_commands")
+model = SetFitModel.from_pretrained("tmpb84tfylb/panda_commands")
 # Run inference
-preds = model("робот поднимись")
+preds = model("часто вращается")
 ```
 
 <!--
@@ -113,7 +113,7 @@ preds = model("робот поднимись")
 ### Training Set Metrics
 | Training set | Min | Median | Max |
 |:-------------|:----|:-------|:----|
-| Word count   | 1   | 2.3696 | 7   |
+| Word count   | 1   | 2.3808 | 7   |
 
 | Label              | Training Sample Count |
 |:-------------------|:----------------------|
@@ -121,7 +121,7 @@ preds = model("робот поднимись")
 | dismiss            | 160                   |
 | give_paw           | 104                   |
 | help               | 22                    |
-| lie_down           | 110                   |
+| lie_down           | 172                   |
 | reconnect_joystick | 135                   |
 | report_command     | 50                    |
 | rotate             | 137                   |
@@ -154,12 +154,12 @@ preds = model("робот поднимись")
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0039 | 1    | 0.2227        | -               |
-| 0.1938 | 50   | 0.0799        | -               |
-| 0.3876 | 100  | 0.012         | -               |
-| 0.5814 | 150  | 0.0052        | -               |
-| 0.7752 | 200  | 0.004         | -               |
-| 0.9690 | 250  | 0.0041        | -               |
+| 0.0037 | 1    | 0.2375        | -               |
+| 0.1873 | 50   | 0.0728        | -               |
+| 0.3745 | 100  | 0.009         | -               |
+| 0.5618 | 150  | 0.005         | -               |
+| 0.7491 | 200  | 0.0038        | -               |
+| 0.9363 | 250  | 0.0028        | -               |
 
 ### Framework Versions
 - Python: 3.11.14

model.safetensors

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model_head.pkl

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