End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: car-class-classification
+  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. -->
+
+# car-class-classification
+
+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: 1.0821
+- Accuracy: 0.6957
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 6    | 2.0896          | 0.4348   |
+| No log        | 2.0   | 12   | 1.8890          | 0.4348   |
+| No log        | 3.0   | 18   | 1.7669          | 0.5652   |
+| No log        | 4.0   | 24   | 1.5707          | 0.6957   |
+| No log        | 5.0   | 30   | 1.4176          | 0.6522   |
+| No log        | 6.0   | 36   | 1.2799          | 0.6522   |
+| No log        | 7.0   | 42   | 1.1758          | 0.6522   |
+| No log        | 8.0   | 48   | 1.1255          | 0.6522   |
+| No log        | 9.0   | 54   | 1.0973          | 0.6957   |
+| No log        | 10.0  | 60   | 1.0821          | 0.6957   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "sports car",
+    "1": "Mid-size luxury",
+    "2": "Family car",
+    "3": "Full-Size",
+    "4": "Personal luxury car",
+    "5": "Economy car",
+    "6": "Executive car",
+    "7": "City Car",
+    "8": "Muscle Car",
+    "9": "Light commercial vehicle",
+    "10": "Grand tourer",
+    "11": "Full-size luxury car"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "City Car": 7,
+    "Economy car": 5,
+    "Executive car": 6,
+    "Family car": 2,
+    "Full-Size": 3,
+    "Full-size luxury car": 11,
+    "Grand tourer": 10,
+    "Light commercial vehicle": 9,
+    "Mid-size luxury": 1,
+    "Muscle Car": 8,
+    "Personal luxury car": 4,
+    "sports car": 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": "4.42.4",
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:f53105a6745059a71c42c78d34aebba2a934c620e96dc8121b04bddc60d40ac2
+size 267863328

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": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "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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