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SweetZiyi/MLMA_Lab8_Task2

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/biogpt
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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 [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_precision: 0.4837
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+ - eval_recall: 0.5349
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+ - eval_f1: 0.5080
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+ - eval_accuracy: 0.9438
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+ - eval_loss: 0.1802
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+ - eval_runtime: 14.3435
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+ - eval_samples_per_second: 65.605
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+ - eval_steps_per_second: 1.046
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+ - step: 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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 64
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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: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "microsoft/biogpt",
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2ForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "embd_pdrop": 0.1,
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+ "hidden_act": "gelu",
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "2": "LABEL_2"
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+ },
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_norm_epsilon": 1e-05,
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+ "layerdrop": 0.0,
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+ "model_type": "gpt2",
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+ "pad_token_id": 1,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "scale_attn_weights": true,
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+ "scale_embedding": true,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 42384
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+ }
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