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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: HBERTv1_48_L8_H256_A4
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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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+ # HBERTv1_48_L8_H256_A4
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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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: 1e-05
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+ - train_batch_size: 96
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+ - eval_batch_size: 96
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+ - seed: 10
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+ - distributed_type: multi-GPU
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 10000
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 1.14.0a0+410ce96
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "activation": "relu",
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+ "architectures": [
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+ "DistilBertForMaskedLM"
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+ ],
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+ "attention_dropout": 0.05,
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+ "dim": 256,
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+ "dropout": 0.05,
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+ "hidden_dim": 1024,
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 512,
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+ "model_type": "hybridbert",
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+ "n_heads": 4,
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+ "n_layers": 8,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.1,
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+ "sinusoidal_pos_embds": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "vocab_size": 30522
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "tokenizer_class": "BertTokenizer",
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+ }
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vocab.txt ADDED
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