Add SetFit model

1_Pooling/config.json

@@ -1,5 +1,5 @@
 {
-  "word_embedding_dimension": 384,
+  "word_embedding_dimension": 768,
   "pooling_mode_cls_token": false,
   "pooling_mode_mean_tokens": true,
   "pooling_mode_max_tokens": false,

README.md

@@ -23,9 +23,9 @@ widget:
     fish, suggesting the need for further research into mitigation strategies.
 pipeline_tag: text-classification
 inference: true
-base_model: sentence-transformers/all-MiniLM-L6-v2
+base_model: sentence-transformers/paraphrase-mpnet-base-v2
 model-index:
-- name: SetFit with sentence-transformers/all-MiniLM-L6-v2
+- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
   results:
   - task:
       type: text-classification
@@ -36,13 +36,13 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.7492307692307693
+      value: 0.803076923076923
       name: Accuracy
 ---
 
-# SetFit with sentence-transformers/all-MiniLM-L6-v2
+# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
 
-This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-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.
+This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-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:
 
@@ -53,9 +53,9 @@ The model has been trained using an efficient few-shot learning technique that i
 
 ### Model Description
 - **Model Type:** SetFit
-- **Sentence Transformer body:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
+- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
 - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
-- **Maximum Sequence Length:** 256 tokens
+- **Maximum Sequence Length:** 512 tokens
 - **Number of Classes:** 13 classes
 <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
 <!-- - **Language:** Unknown -->
@@ -89,7 +89,7 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.7492   |
+| **all** | 0.8031   |
 
 ## Uses
 
@@ -160,11 +160,11 @@ preds = model("Further investigations are required to determine the nature of th
 | Uncertainty     | 100                   |
 
 ### Training Hyperparameters
-- batch_size: (128, 128)
+- batch_size: (156, 156)
 - num_epochs: (1, 1)
 - max_steps: -1
 - sampling_strategy: oversampling
-- num_iterations: 30
+- num_iterations: 15
 - body_learning_rate: (2e-05, 1e-05)
 - head_learning_rate: 0.01
 - loss: CosineSimilarityLoss
@@ -180,22 +180,12 @@ preds = model("Further investigations are required to determine the nature of th
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0098 | 1    | 0.4492        | -               |
-| 0.4902 | 50   | 0.1916        | -               |
-| 0.9804 | 100  | 0.1761        | -               |
-| 0.0016 | 1    | 0.1839        | -               |
-| 0.0820 | 50   | 0.1739        | -               |
-| 0.1639 | 100  | 0.145         | -               |
-| 0.2459 | 150  | 0.1549        | -               |
-| 0.3279 | 200  | 0.1319        | -               |
-| 0.4098 | 250  | 0.084         | -               |
-| 0.4918 | 300  | 0.1165        | -               |
-| 0.5738 | 350  | 0.0836        | -               |
-| 0.6557 | 400  | 0.0813        | -               |
-| 0.7377 | 450  | 0.0852        | -               |
-| 0.8197 | 500  | 0.0854        | -               |
-| 0.9016 | 550  | 0.0932        | -               |
-| 0.9836 | 600  | 0.0955        | -               |
+| 0.0003 | 1    | 0.2399        | -               |
+| 0.2    | 50   | 0.1454        | -               |
+| 0.4    | 100  | 0.142         | -               |
+| 0.6    | 150  | 0.1014        | -               |
+| 0.8    | 200  | 0.0914        | -               |
+| 1.0    | 250  | 0.0784        | -               |
 
 ### Framework Versions
 - Python: 3.10.12

config.json

@@ -1,26 +1,24 @@
 {
-  "_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_all-MiniLM-L6-v2/",
+  "_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_paraphrase-mpnet-base-v2/",
   "architectures": [
-    "BertModel"
+    "MPNetModel"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "gradient_checkpointing": false,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 384,
+  "hidden_size": 768,
   "initializer_range": 0.02,
-  "intermediate_size": 1536,
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
   "num_attention_heads": 12,
-  "num_hidden_layers": 6,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
   "torch_dtype": "float32",
   "transformers_version": "4.35.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 30522
+  "vocab_size": 30527
 }

config_sentence_transformers.json

@@ -1,7 +1,7 @@
 {
   "__version__": {
     "sentence_transformers": "2.0.0",
-    "transformers": "4.6.1",
-    "pytorch": "1.8.1"
+    "transformers": "4.7.0",
+    "pytorch": "1.9.0+cu102"
   }
 }

config_setfit.json

@@ -1,5 +1,4 @@
 {
-  "normalize_embeddings": false,
   "labels": [
     "Aims",
     "Background",
@@ -14,5 +13,6 @@
     "Reccomendations",
     "Result",
     "Uncertainty"
-  ]
+  ],
+  "normalize_embeddings": false
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:141d914bc4cc7abfdda90db15d9ccc63682fd632af680e852a2910eb1c1fbc88
-size 90864192
+oid sha256:8e6ed62f9ebe9486c0024d1d67f55b8ac61d89439e4cc86d3d51f234939f864d
+size 437967672

model_head.pkl

@@ -1,3 +1,3 @@
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-oid sha256:49301dc5cc11c03bd3d73aa723a6c87e4309f65a39936612fb8066235491f488
-size 41647
+oid sha256:2114204c6bc943d637082385d7f7a227985229c5aa70612992910807d8009a25
+size 81583

modules.json

@@ -10,11 +10,5 @@
     "name": "1",
     "path": "1_Pooling",
     "type": "sentence_transformers.models.Pooling"
-  },
-  {
-    "idx": 2,
-    "name": "2",
-    "path": "2_Normalize",
-    "type": "sentence_transformers.models.Normalize"
   }
 ]

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 256,
+  "max_seq_length": 512,
   "do_lower_case": false
 }

special_tokens_map.json

@@ -1,7 +1,51 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer.json

@@ -1,3 +1,3 @@
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-oid sha256:851ca67100d372ca3ae031a6abd168f53489eebfd7d89523f35c5c9b4d372c3c
-size 711649
+oid sha256:5858fbf3342d891d40efa32ba2478c09c895e7eb3d94cdb721651126f0ba58f9
+size 711831

tokenizer_config.json

@@ -1,64 +1,59 @@
 {
   "added_tokens_decoder": {
     "0": {
-      "content": "[PAD]",
+      "content": "<s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "100": {
-      "content": "[UNK]",
+    "1": {
+      "content": "<pad>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "101": {
-      "content": "[CLS]",
+    "2": {
+      "content": "</s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "102": {
-      "content": "[SEP]",
+    "104": {
+      "content": "[UNK]",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "103": {
-      "content": "[MASK]",
-      "lstrip": false,
+    "30526": {
+      "content": "<mask>",
+      "lstrip": true,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
+  "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
-  "cls_token": "[CLS]",
+  "cls_token": "<s>",
   "do_basic_tokenize": true,
   "do_lower_case": true,
-  "mask_token": "[MASK]",
-  "max_length": 128,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
   "model_max_length": 512,
   "never_split": null,
-  "pad_to_multiple_of": null,
-  "pad_token": "[PAD]",
-  "pad_token_type_id": 0,
-  "padding_side": "right",
-  "sep_token": "[SEP]",
-  "stride": 0,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
   "strip_accents": null,
   "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
+  "tokenizer_class": "MPNetTokenizer",
   "unk_token": "[UNK]"
 }

vocab.txt

@@ -1,3 +1,7 @@
+<s>
+<pad>
+</s>
+<unk>
 [PAD]
 [unused0]
 [unused1]
@@ -30520,3 +30524,4 @@ necessitated
 ##：
 ##？
 ##～
+<mask>