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README.md ADDED
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+ ---
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+ base_model: nghuyong/ernie-3.0-base-zh
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ernie-3.0-base-zh-RETACRED-1114
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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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+ # ernie-3.0-base-zh-RETACRED-1114
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+
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+ This model is a fine-tuned version of [nghuyong/ernie-3.0-base-zh](https://huggingface.co/nghuyong/ernie-3.0-base-zh) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5892
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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: 32
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+ - eval_batch_size: 32
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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: 5
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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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+ | 0.6751 | 1.0 | 1828 | 0.8193 |
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+ | 0.4111 | 2.0 | 3656 | 0.6346 |
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+ | 0.2982 | 3.0 | 5484 | 0.6163 |
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+ | 0.2166 | 4.0 | 7312 | 0.5891 |
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+ | 0.158 | 5.0 | 9140 | 0.5892 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
runs/Nov14_05-30-07_a7590f86419c/events.out.tfevents.1699941866.a7590f86419c.184.1 ADDED
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