End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: test-decide-classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test-decide-classifier
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
+| No log        | 1.0   | 1    | 0.6751          | 0.0      | 1.0       | 1.0    | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.9.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.21.4

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "SDG-01 No Poverty",
+    "1": "SDG-02 Zero Hunger",
+    "2": "SDG-03 Good Health and Well-Being",
+    "3": "SDG-04 Quality Education",
+    "4": "SDG-05 Gender Equality",
+    "5": "SDG-06 Clean Water and Sanitation",
+    "6": "SDG-07 Affordable and Clean Energy",
+    "7": "SDG-08 Decent Work and Economic Growth",
+    "8": "SDG-09 Industry, Innovation and Infrastructure",
+    "9": "SDG-10 Reduced Inequality",
+    "10": "SDG-11 Sustainable Cities and Communities",
+    "11": "SDG-12 Responsible Consumption and Production",
+    "12": "SDG-13 Climate Action",
+    "13": "SDG-14 Life Below Water",
+    "14": "SDG-16 Life on Land",
+    "15": "SDG-16 Peace, Justice and Strong Institutions",
+    "16": "SDG-17 Partnerships for the Goals"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "SDG-01 No Poverty": 0,
+    "SDG-02 Zero Hunger": 1,
+    "SDG-03 Good Health and Well-Being": 2,
+    "SDG-04 Quality Education": 3,
+    "SDG-05 Gender Equality": 4,
+    "SDG-06 Clean Water and Sanitation": 5,
+    "SDG-07 Affordable and Clean Energy": 6,
+    "SDG-08 Decent Work and Economic Growth": 7,
+    "SDG-09 Industry, Innovation and Infrastructure": 8,
+    "SDG-10 Reduced Inequality": 9,
+    "SDG-11 Sustainable Cities and Communities": 10,
+    "SDG-12 Responsible Consumption and Production": 11,
+    "SDG-13 Climate Action": 12,
+    "SDG-14 Life Below Water": 13,
+    "SDG-16 Life on Land": 14,
+    "SDG-16 Peace, Justice and Strong Institutions": 15,
+    "SDG-17 Partnerships for the Goals": 16
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "multi_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f5debcfbb0eb53a93d92db51f6478d2a9f72666a2486891448eaa88524d75245
+size 267878708

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:4c136b36bf9dc8e6ec289bcbbb43d5514135c15bb32e12d5f080d94130f51c85
+size 5777