Add SetFit model

1_Pooling/config.json

@@ -1,7 +1,7 @@
 {
-  "word_embedding_dimension": 1024,
-  "pooling_mode_cls_token": true,
-  "pooling_mode_mean_tokens": false,
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
   "pooling_mode_max_tokens": false,
   "pooling_mode_mean_sqrt_len_tokens": false,
   "pooling_mode_weightedmean_tokens": false,

README.md

@@ -5,7 +5,7 @@ tags:
 - sentence-transformers
 - text-classification
 - generated_from_setfit_trainer
-base_model: BAAI/bge-m3
+base_model: sentence-transformers/all-mpnet-base-v2
 metrics:
 - accuracy
 widget:
@@ -22,7 +22,7 @@ widget:
 pipeline_tag: text-classification
 inference: true
 model-index:
-- name: SetFit with BAAI/bge-m3
+- name: SetFit with sentence-transformers/all-mpnet-base-v2
   results:
   - task:
       type: text-classification
@@ -37,9 +37,9 @@ model-index:
       name: Accuracy
 ---
 
-# SetFit with BAAI/bge-m3
+# SetFit with sentence-transformers/all-mpnet-base-v2
 
-This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
+This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
 
 The model has been trained using an efficient few-shot learning technique that involves:
 
@@ -50,9 +50,9 @@ The model has been trained using an efficient few-shot learning technique that i
 
 ### Model Description
 - **Model Type:** SetFit
-- **Sentence Transformer body:** [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3)
+- **Sentence Transformer body:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)
 - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
-- **Maximum Sequence Length:** 8192 tokens
+- **Maximum Sequence Length:** 384 tokens
 - **Number of Classes:** 2 classes
 <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
 <!-- - **Language:** Unknown -->
@@ -152,41 +152,41 @@ preds = model("What distinguishes a transforming industry from one that merely i
 - load_best_model_at_end: True
 
 ### Training Results
-| Epoch   | Step    | Training Loss | Validation Loss |
-|:-------:|:-------:|:-------------:|:---------------:|
-| 0.0021  | 1       | 0.2141        | -               |
-| 0.1033  | 50      | 0.0725        | -               |
-| 0.2066  | 100     | 0.0013        | -               |
-| 0.3099  | 150     | 0.0007        | -               |
-| 0.4132  | 200     | 0.0007        | -               |
-| 0.5165  | 250     | 0.0005        | -               |
-| 0.6198  | 300     | 0.0005        | -               |
-| 0.7231  | 350     | 0.0004        | -               |
-| 0.8264  | 400     | 0.0005        | -               |
-| 0.9298  | 450     | 0.0003        | -               |
-| **1.0** | **484** | **-**         | **0.0**         |
-| 1.0331  | 500     | 0.0004        | -               |
-| 1.1364  | 550     | 0.0003        | -               |
-| 1.2397  | 600     | 0.0004        | -               |
-| 1.3430  | 650     | 0.0003        | -               |
-| 1.4463  | 700     | 0.0003        | -               |
-| 1.5496  | 750     | 0.0002        | -               |
-| 1.6529  | 800     | 0.0003        | -               |
-| 1.7562  | 850     | 0.0002        | -               |
-| 1.8595  | 900     | 0.0002        | -               |
-| 1.9628  | 950     | 0.0002        | -               |
-| 2.0     | 968     | -             | 0.0             |
-| 2.0661  | 1000    | 0.0002        | -               |
-| 2.1694  | 1050    | 0.0003        | -               |
-| 2.2727  | 1100    | 0.0002        | -               |
-| 2.3760  | 1150    | 0.0002        | -               |
-| 2.4793  | 1200    | 0.0002        | -               |
-| 2.5826  | 1250    | 0.0002        | -               |
-| 2.6860  | 1300    | 0.0002        | -               |
-| 2.7893  | 1350    | 0.0002        | -               |
-| 2.8926  | 1400    | 0.0002        | -               |
-| 2.9959  | 1450    | 0.0002        | -               |
-| 3.0     | 1452    | -             | 0.0             |
+| Epoch   | Step     | Training Loss | Validation Loss |
+|:-------:|:--------:|:-------------:|:---------------:|
+| 0.0021  | 1        | 0.301         | -               |
+| 0.1033  | 50       | 0.1244        | -               |
+| 0.2066  | 100      | 0.0021        | -               |
+| 0.3099  | 150      | 0.0006        | -               |
+| 0.4132  | 200      | 0.0002        | -               |
+| 0.5165  | 250      | 0.0002        | -               |
+| 0.6198  | 300      | 0.0001        | -               |
+| 0.7231  | 350      | 0.0001        | -               |
+| 0.8264  | 400      | 0.0001        | -               |
+| 0.9298  | 450      | 0.0001        | -               |
+| 1.0     | 484      | -             | 0.0001          |
+| 1.0331  | 500      | 0.0001        | -               |
+| 1.1364  | 550      | 0.0001        | -               |
+| 1.2397  | 600      | 0.0001        | -               |
+| 1.3430  | 650      | 0.0           | -               |
+| 1.4463  | 700      | 0.0001        | -               |
+| 1.5496  | 750      | 0.0001        | -               |
+| 1.6529  | 800      | 0.0001        | -               |
+| 1.7562  | 850      | 0.0001        | -               |
+| 1.8595  | 900      | 0.0           | -               |
+| 1.9628  | 950      | 0.0           | -               |
+| 2.0     | 968      | -             | 0.0001          |
+| 2.0661  | 1000     | 0.0001        | -               |
+| 2.1694  | 1050     | 0.0001        | -               |
+| 2.2727  | 1100     | 0.0           | -               |
+| 2.3760  | 1150     | 0.0           | -               |
+| 2.4793  | 1200     | 0.0           | -               |
+| 2.5826  | 1250     | 0.0           | -               |
+| 2.6860  | 1300     | 0.0001        | -               |
+| 2.7893  | 1350     | 0.0           | -               |
+| 2.8926  | 1400     | 0.0001        | -               |
+| 2.9959  | 1450     | 0.0           | -               |
+| **3.0** | **1452** | **-**         | **0.0001**      |
 
 * The bold row denotes the saved checkpoint.
 ### Framework Versions

config.json

@@ -1,28 +1,24 @@
 {
-  "_name_or_path": "checkpoints/step_484",
+  "_name_or_path": "checkpoints/step_1452",
   "architectures": [
-    "XLMRobertaModel"
+    "MPNetModel"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
-  "classifier_dropout": null,
   "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 1024,
+  "hidden_size": 768,
   "initializer_range": 0.02,
-  "intermediate_size": 4096,
+  "intermediate_size": 3072,
   "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 8194,
-  "model_type": "xlm-roberta",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 24,
-  "output_past": true,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 1,
-  "position_embedding_type": "absolute",
+  "relative_attention_num_buckets": 32,
   "torch_dtype": "float32",
   "transformers_version": "4.39.0",
-  "type_vocab_size": 1,
-  "use_cache": true,
-  "vocab_size": 250002
+  "vocab_size": 30527
 }

config_sentence_transformers.json

@@ -1,8 +1,8 @@
 {
   "__version__": {
-    "sentence_transformers": "2.2.2",
-    "transformers": "4.33.0",
-    "pytorch": "2.1.2+cu121"
+    "sentence_transformers": "2.0.0",
+    "transformers": "4.6.1",
+    "pytorch": "1.8.1"
   },
   "prompts": {},
   "default_prompt_name": null

config_setfit.json

@@ -1,7 +1,7 @@
 {
-  "normalize_embeddings": false,
   "labels": [
     "lexical",
     "semantic"
-  ]
+  ],
+  "normalize_embeddings": false
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b33180d678dcfc0fdadea9d0349b233782e46cce322e45bd85d8323898d9fdb5
-size 2271064456
+oid sha256:e3aecb73df1f4899ecef5a4732119cf7319250902ae704c7a28e0ffc99a99eda
+size 437967672

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52b6eb505197312d7321f12c0fc66b1e083991737f8ff6fedb5dd3d4e33695f0
-size 9087
+oid sha256:03051f677d184f53e2f1ee6703c4aba2d3bf9688700c5baa2bcd55b8790363d4
+size 7039

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 8192,
+  "max_seq_length": 384,
   "do_lower_case": false
 }

special_tokens_map.json

@@ -42,7 +42,7 @@
     "single_word": false
   },
   "unk_token": {
-    "content": "<unk>",
+    "content": "[UNK]",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1af481bd08ed9347cf9d3d07c24e5de75a10983819de076436400609e6705686
-size 17083075
+oid sha256:46fb1f735006f52c1f9744bb05f7bc1544ec8475955af30396212c7737558d1e
+size 710932

tokenizer_config.json

@@ -27,12 +27,20 @@
     "3": {
       "content": "<unk>",
       "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "[UNK]",
+      "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "250001": {
+    "30526": {
       "content": "<mask>",
       "lstrip": true,
       "normalized": false,
@@ -44,19 +52,21 @@
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
+  "do_lower_case": true,
   "eos_token": "</s>",
   "mask_token": "<mask>",
-  "max_length": 8192,
-  "model_max_length": 8192,
+  "max_length": 128,
+  "model_max_length": 512,
   "pad_to_multiple_of": null,
   "pad_token": "<pad>",
   "pad_token_type_id": 0,
   "padding_side": "right",
   "sep_token": "</s>",
-  "sp_model_kwargs": {},
   "stride": 0,
-  "tokenizer_class": "XLMRobertaTokenizer",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
   "truncation_side": "right",
   "truncation_strategy": "longest_first",
-  "unk_token": "<unk>"
+  "unk_token": "[UNK]"
 }