End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: climate_un2
+  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. -->
+
+# climate_un2
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0929
+- Accuracy: 0.9860
+- F1 Macro: 0.9804
+- Accuracy Balanced: 0.9856
+- F1 Micro: 0.9860
+- Precision Macro: 0.9755
+- Recall Macro: 0.9856
+- Precision Micro: 0.9860
+- Recall Micro: 0.9860
+
+## 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: 8
+- eval_batch_size: 80
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
+| No log        | 1.0   | 167  | 0.0673          | 0.9851   | 0.9790   | 0.9796            | 0.9851   | 0.9783          | 0.9796       | 0.9851          | 0.9851       |
+| No log        | 2.0   | 334  | 0.0732          | 0.9834   | 0.9768   | 0.9839            | 0.9834   | 0.9702          | 0.9839       | 0.9834          | 0.9834       |
+| 0.1178        | 3.0   | 501  | 0.0617          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
+| 0.1178        | 4.0   | 668  | 0.0593          | 0.9886   | 0.9840   | 0.9873            | 0.9886   | 0.9809          | 0.9873       | 0.9886          | 0.9886       |
+| 0.1178        | 5.0   | 835  | 0.0822          | 0.9843   | 0.9780   | 0.9844            | 0.9843   | 0.9720          | 0.9844       | 0.9843          | 0.9843       |
+| 0.0088        | 6.0   | 1002 | 0.0810          | 0.9878   | 0.9829   | 0.9880            | 0.9878   | 0.9779          | 0.9880       | 0.9878          | 0.9878       |
+| 0.0088        | 7.0   | 1169 | 0.0904          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
+| 0.0088        | 8.0   | 1336 | 0.0927          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
+| 0.0006        | 9.0   | 1503 | 0.0936          | 0.9860   | 0.9805   | 0.9869            | 0.9860   | 0.9744          | 0.9869       | 0.9860          | 0.9860       |
+| 0.0006        | 10.0  | 1670 | 0.0929          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.7
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "other",
+    "1": "climate"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "climate": 1,
+    "other": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.1",
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:53e6b243279d3bd53898e51655a0db098491663c94c75329f870c06545ed8ea0
+size 267832560

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
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+    "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": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "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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