hung200504 commited on
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bert-cased

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: hung200504/bert-24.1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-24.2
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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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+ # bert-24.2
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+
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+ This model is a fine-tuned version of [hung200504/bert-24.1](https://huggingface.co/hung200504/bert-24.1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 11.4596
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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-07
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.5094 | 0.09 | 5 | 11.5096 |
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+ | 10.6572 | 0.18 | 10 | 11.5053 |
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+ | 10.3097 | 0.27 | 15 | 11.5006 |
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+ | 10.4711 | 0.36 | 20 | 11.4964 |
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+ | 10.505 | 0.45 | 25 | 11.4927 |
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+ | 10.5575 | 0.55 | 30 | 11.4890 |
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+ | 9.9085 | 0.64 | 35 | 11.4854 |
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+ | 10.5509 | 0.73 | 40 | 11.4820 |
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+ | 10.1511 | 0.82 | 45 | 11.4788 |
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+ | 10.0779 | 0.91 | 50 | 11.4760 |
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+ | 9.8849 | 1.0 | 55 | 11.4735 |
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+ | 10.1105 | 1.09 | 60 | 11.4713 |
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+ | 10.2491 | 1.18 | 65 | 11.4692 |
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+ | 10.4967 | 1.27 | 70 | 11.4671 |
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+ | 10.0624 | 1.36 | 75 | 11.4654 |
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+ | 10.5219 | 1.45 | 80 | 11.4642 |
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+ | 10.2786 | 1.55 | 85 | 11.4627 |
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+ | 10.2518 | 1.64 | 90 | 11.4618 |
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+ | 10.1067 | 1.73 | 95 | 11.4609 |
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+ | 10.36 | 1.82 | 100 | 11.4603 |
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+ | 9.9273 | 1.91 | 105 | 11.4598 |
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+ | 10.2964 | 2.0 | 110 | 11.4596 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json ADDED
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+ {
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+ "_name_or_path": "hung200504/bert-24.1",
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+ "architectures": [
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+ "BertForQuestionAnswering"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "language": "english",
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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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+ "name": "Bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
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tokenizer.json ADDED
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+ "clean_up_tokenization_spaces": true,
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+ "tokenizer_class": "BertTokenizer",
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vocab.txt ADDED
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