CI: модель обучена и загружена (21d6143)

2_Dense/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d145071cdcd6b749cdaf5753f52e3578e7b0f32154d7c03526c5c9263cc52c80
+oid sha256:1d3013cb8d9c37ce23876ff03e69e7e54f8a54e33b23cb073a50bd26eec3a283
 size 9437272

3_Dense/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6bd10e3240af2263eedc7a91fbedfdfb8b2c0454892f425ccebbcbb20b713368
+oid sha256:108ce65cf9204f98d306d3e0562e6d8cc9817e7e8a9f0d423e0e26b4dc033445
 size 9437272

README.md

@@ -5,11 +5,11 @@ tags:
 - text-classification
 - generated_from_setfit_trainer
 widget:
-- text: второй робот
-- text: давай лапу
+- text: заставляю давать лапу
+- text: пора показать лапу
 - text: привяжи робота 1
-- text: быстро перевернись
-- text: покрутишься
+- text: робот поднимись
+- text: примите положение лежа
 metrics:
 - accuracy
 pipeline_tag: text-classification
@@ -34,7 +34,7 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Sentence Transformer body:** [google/embeddinggemma-300M](https://huggingface.co/google/embeddinggemma-300M)
 - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
 - **Maximum Sequence Length:** 2048 tokens
-- **Number of Classes:** 13 classes
+- **Number of Classes:** 14 classes
 <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->
@@ -52,6 +52,7 @@ The model has been trained using an efficient few-shot learning technique that i
 | silence            | <ul><li>'тишина'</li><li>'молчи'</li><li>'молчите'</li></ul>                                      |
 | bind               | <ul><li>'привяжи робота'</li><li>'привяжи панду'</li><li>'привяжи робота 1'</li></ul>             |
 | unbind             | <ul><li>'отвяжи робота'</li><li>'отвяжи панду'</li><li>'отвяжите робота'</li></ul>                |
+| report_command     | <ul><li>'исправить команду'</li><li>'исправь команду'</li><li>'исправьте команду'</li></ul>       |
 | give_paw           | <ul><li>'лапу'</li><li>'дай лапу'</li><li>'дать лапу'</li></ul>                                   |
 | stand_at_attention | <ul><li>'равняйсь'</li><li>'равняйся'</li><li>'равняться'</li></ul>                               |
 | dismiss            | <ul><li>'отставить'</li><li>'отставь'</li><li>'встать'</li></ul>                                  |
@@ -78,9 +79,9 @@ Then you can load this model and run inference.
 from setfit import SetFitModel
 
 # Download from the 🤗 Hub
-model = SetFitModel.from_pretrained("tmp2xh3zlis/panda_commands")
+model = SetFitModel.from_pretrained("tmp8a80_nwv/panda_commands")
 # Run inference
-preds = model("давай лапу")
+preds = model("робот поднимись")
 ```
 
 <!--
@@ -112,7 +113,7 @@ preds = model("давай лапу")
 ### Training Set Metrics
 | Training set | Min | Median | Max |
 |:-------------|:----|:-------|:----|
-| Word count   | 1   | 2.3566 | 7   |
+| Word count   | 1   | 2.3696 | 7   |
 
 | Label              | Training Sample Count |
 |:-------------------|:----------------------|
@@ -122,13 +123,14 @@ preds = model("давай лапу")
 | help               | 22                    |
 | lie_down           | 110                   |
 | reconnect_joystick | 135                   |
+| report_command     | 50                    |
 | rotate             | 137                   |
 | run                | 106                   |
 | silence            | 27                    |
 | stand_at_attention | 88                    |
 | stop_running       | 135                   |
 | unbind             | 37                    |
-| unknown            | 477                   |
+| unknown            | 479                   |
 
 ### Training Hyperparameters
 - batch_size: (256, 256)
@@ -152,11 +154,12 @@ preds = model("давай лапу")
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0040 | 1    | 0.2421        | -               |
-| 0.2008 | 50   | 0.0777        | -               |
-| 0.4016 | 100  | 0.0133        | -               |
-| 0.6024 | 150  | 0.0069        | -               |
-| 0.8032 | 200  | 0.0044        | -               |
+| 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        | -               |
 
 ### Framework Versions
 - Python: 3.11.14

config_setfit.json

@@ -1,4 +1,5 @@
 {
+  "normalize_embeddings": false,
   "labels": [
     "bind",
     "dismiss",
@@ -6,6 +7,7 @@
     "help",
     "lie_down",
     "reconnect_joystick",
+    "report_command",
     "rotate",
     "run",
     "silence",
@@ -13,6 +15,5 @@
     "stop_running",
     "unbind",
     "unknown"
-  ],
-  "normalize_embeddings": false
+  ]
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1257f0d36413c7f4c09ed585111c026475a8489165d5f4b17e050ba9bf7ab7e5
+oid sha256:51077e0b476f30623ed3350f170621b30e45b1b8b3319cc46b4f3b368d298ece
 size 1211486072

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81ae3433585d876377807bf1d53a0b881aeb06789c5dc568079c125841e1e781
-size 81743
+oid sha256:4ccc026d69f5a499954b81aa5ff6783d0a9add5f3f6c1e200ca58b4d28aeb49d
+size 87959