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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: REPEAT622_1_10_8 |
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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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# REPEAT622_1_10_8 |
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1449 |
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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: 2e-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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- 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: 10 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3564 | 1.0 | 9531 | 0.6554 | |
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| 0.1645 | 2.0 | 19062 | 0.9331 | |
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| 0.1333 | 3.0 | 28593 | 1.1128 | |
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| 0.1148 | 4.0 | 38124 | 1.2805 | |
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| 0.1035 | 5.0 | 47655 | 1.9552 | |
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| 0.0875 | 6.0 | 57186 | 2.5004 | |
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| 0.0767 | 7.0 | 66717 | 2.9955 | |
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| 0.0684 | 8.0 | 76248 | 2.7516 | |
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| 0.0616 | 9.0 | 85779 | 2.9578 | |
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| 0.0572 | 10.0 | 95310 | 3.1449 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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