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sohaib/tinyBert-classifier-v0.5

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: huawei-noah/TinyBERT_General_4L_312D
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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: train_dir
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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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+ # train_dir
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+
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+ This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2060
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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: 2
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+ - eval_batch_size: 2
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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: 6
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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 | 29 | 0.6396 | 1.0 |
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+ | No log | 2.0 | 58 | 0.5003 | 1.0 |
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+ | No log | 3.0 | 87 | 0.3552 | 1.0 |
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+ | No log | 4.0 | 116 | 0.2633 | 1.0 |
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+ | No log | 5.0 | 145 | 0.2191 | 1.0 |
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+ | No log | 6.0 | 174 | 0.2060 | 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 4.49.0.dev0
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+ - Pytorch 2.5.1+cu121
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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": "huawei-noah/TinyBERT_General_4L_312D",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 4,
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+ "position_embedding_type": "absolute",
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+ "pre_trained": "",
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+ "problem_type": "single_label_classification",
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+ "structure": [],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.49.0.dev0",
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