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gianghoang/result

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README.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ base_model: LA1512/Led-pubmed-20K-4096-epoch2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [LA1512/Led-pubmed-20K-4096-epoch2](https://huggingface.co/LA1512/Led-pubmed-20K-4096-epoch2) 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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1
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+ - label_smoothing_factor: 0.1
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "LA1512/Led-pubmed-20K-4096-epoch2",
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "LEDForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attention_window": [
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+ 1024,
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "min_length": 100,
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+ "model_type": "led",
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+ "pad_token_id": 1,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.1",
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+ "use_cache": false,
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+ "vocab_size": 50265
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.json ADDED
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