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--- |
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base_model: airesearch/wangchanberta-base-att-spm-uncased |
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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: sentiment-finnlp-th |
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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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# sentiment-finnlp-th |
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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: 1.4313 |
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- Accuracy: 0.7352 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 7 |
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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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| 0.7732 | 1.0 | 512 | 0.7954 | 0.6452 | |
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| 0.5449 | 2.0 | 1024 | 0.6498 | 0.7289 | |
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| 0.3744 | 3.0 | 1536 | 0.7705 | 0.7318 | |
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| 0.2475 | 4.0 | 2048 | 1.0368 | 0.7358 | |
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| 0.1818 | 5.0 | 2560 | 1.1335 | 0.7392 | |
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| 0.1383 | 6.0 | 3072 | 1.3119 | 0.7358 | |
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| 0.0896 | 7.0 | 3584 | 1.4313 | 0.7352 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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