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Text Classification
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distilbert
Generated from Trainer
text-embeddings-inference
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  1. .gitattributes +35 -35
  2. README.md +67 -0
  3. config.json +33 -0
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  13. special_tokens_map.json +7 -0
  14. tokenizer.json +0 -0
  15. tokenizer_config.json +56 -0
  16. training_args.bin +3 -0
  17. vocab.txt +0 -0
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README.md CHANGED
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  ---
 
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  license: apache-2.0
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: transformers
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  license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: working
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+ results: []
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  ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # working
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0002
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+ - Accuracy: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 80 | 0.0041 | 1.0 |
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+ | No log | 2.0 | 160 | 0.0012 | 1.0 |
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+ | No log | 3.0 | 240 | 0.0007 | 1.0 |
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+ | No log | 4.0 | 320 | 0.0004 | 1.0 |
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+ | No log | 5.0 | 400 | 0.0003 | 1.0 |
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+ | No log | 6.0 | 480 | 0.0002 | 1.0 |
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+ | 0.0303 | 7.0 | 560 | 0.0002 | 1.0 |
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+ | 0.0303 | 8.0 | 640 | 0.0002 | 1.0 |
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+ | 0.0303 | 9.0 | 720 | 0.0002 | 1.0 |
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+ | 0.0303 | 10.0 | 800 | 0.0002 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "NOTSCAM",
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+ "1": "SCAM"
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.47.1",
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+ "vocab_size": 30522
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+ }
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