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--- |
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license: apache-2.0 |
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base_model: susnato/ernie-m-base_pytorch |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: Model |
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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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# Model |
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This model is a fine-tuned version of [susnato/ernie-m-base_pytorch](https://huggingface.co/susnato/ernie-m-base_pytorch) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3594 |
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- F1: 0.8030 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 8 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.818 | 1.0 | 1469 | 0.7237 | 0.7282 | |
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| 0.5339 | 2.0 | 2938 | 0.6703 | 0.7587 | |
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| 0.3487 | 3.0 | 4407 | 0.7401 | 0.7683 | |
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| 0.2386 | 4.0 | 5876 | 0.7384 | 0.7901 | |
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| 0.143 | 5.0 | 7345 | 1.0072 | 0.7736 | |
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| 0.0819 | 6.0 | 8814 | 1.0898 | 0.7979 | |
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| 0.0438 | 7.0 | 10283 | 1.3199 | 0.7948 | |
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| 0.0166 | 8.0 | 11752 | 1.3594 | 0.8030 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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