Uploading AussieAussieAussie text classifier model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: AussieAussieAussietext_classifier-distilbert-base-uncased
+  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. -->
+
+# AussieAussieAussietext_classifier-distilbert-base-uncased
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1550
+- Accuracy: 0.975
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3638        | 1.0   | 25   | 0.3674          | 0.89     |
+| 0.1092        | 2.0   | 50   | 0.2297          | 0.94     |
+| 0.0541        | 3.0   | 75   | 0.1671          | 0.96     |
+| 0.0221        | 4.0   | 100  | 0.1828          | 0.945    |
+| 0.0135        | 5.0   | 125  | 0.1759          | 0.96     |
+| 0.0057        | 6.0   | 150  | 0.1636          | 0.965    |
+| 0.0007        | 7.0   | 175  | 0.1464          | 0.975    |
+| 0.0005        | 8.0   | 200  | 0.1494          | 0.975    |
+| 0.0005        | 9.0   | 225  | 0.1539          | 0.975    |
+| 0.0004        | 10.0  | 250  | 0.1550          | 0.975    |
+
+
+### Framework versions
+
+- Transformers 5.13.0
+- Pytorch 2.12.1+cpu
+- Datasets 5.0.0
+- Tokenizers 0.22.2

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": null,
+  "dim": 768,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "aussie",
+    "1": "not_aussie"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "aussie": 0,
+    "not_aussie": 1
+  },
+  "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,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.13.0",
+  "use_cache": false,
+  "vocab_size": 30522
+}

model.safetensors

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+size 267832560

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5201