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README.md ADDED
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+ ---
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+ base_model: uer/gpt2-chinese-cluecorpussmall
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: similar_question_generation
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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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+ # similar_question_generation
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+
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+ This model is a fine-tuned version of [uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/uer/gpt2-chinese-cluecorpussmall) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0045
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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: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 16
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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: 1000
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+ - num_epochs: 100.0
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+ - mixed_precision_training: Native AMP
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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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+ | 2.2108 | 0.21 | 1000 | 2.0433 |
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+ | 2.047 | 0.42 | 2000 | 2.0138 |
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+ | 1.9859 | 0.63 | 3000 | 1.9939 |
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+ | 1.9471 | 0.84 | 4000 | 1.9953 |
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+ | 1.8932 | 1.05 | 5000 | 2.0034 |
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+ | 1.8224 | 1.26 | 6000 | 1.9962 |
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+ | 1.8131 | 1.47 | 7000 | 1.9886 |
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+ | 1.8007 | 1.69 | 8000 | 1.9881 |
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+ | 1.7948 | 1.9 | 9000 | 1.9825 |
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+ | 1.7314 | 2.11 | 10000 | 2.0049 |
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+ | 1.6901 | 2.32 | 11000 | 2.0029 |
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+ | 1.6941 | 2.53 | 12000 | 2.0012 |
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+ | 1.6921 | 2.74 | 13000 | 2.0024 |
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+ | 1.6917 | 2.95 | 14000 | 2.0045 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "uer/gpt2-chinese-cluecorpussmall",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50256,
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+ "embd_pdrop": 0.1,
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+ "gradient_checkpointing": false,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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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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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 320
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+ }
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+ },
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+ "tokenizer_class": "BertTokenizer",
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+ "torch_dtype": "float32",
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+ "use_cache": true,
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+ "vocab_size": 21128
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+ }
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