End of training
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- model.safetensors +1 -1
README.md
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---
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base_model: nghuyong/ernie-2.0-base-en
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: nghuyong-ernie-2.0-base-en
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results: []
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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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# nghuyong-ernie-2.0-base-en
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This model is a fine-tuned version of [nghuyong/ernie-2.0-base-en](https://huggingface.co/nghuyong/ernie-2.0-base-en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5388
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- Accuracy: 0.3512
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 64
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.321 | 1.0 | 2857 | 1.3577 | 0.3201 |
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| 1.1604 | 2.0 | 5714 | 1.4322 | 0.3493 |
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| 0.9724 | 3.0 | 8571 | 1.5388 | 0.3512 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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model.safetensors
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