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--- |
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base_model: xxxxxxxxx |
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tags: |
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- generated_from_trainer |
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datasets: |
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- AmazonScience/massive |
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model-index: |
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- name: massive_indo |
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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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# massive_indo |
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This model is a fine-tuned version of [xxxxxxxxx](https://huggingface.co/xxxxxxxxx) on the massive dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1952 |
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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: 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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.8949 | 2.08 | 100 | 4.8610 | |
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| 4.5401 | 4.17 | 200 | 4.5439 | |
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| 4.2447 | 6.25 | 300 | 4.2866 | |
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| 4.0005 | 8.33 | 400 | 4.0553 | |
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| 3.7874 | 10.42 | 500 | 3.8500 | |
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| 3.5807 | 12.5 | 600 | 3.6576 | |
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| 3.3725 | 14.58 | 700 | 3.4922 | |
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| 3.1977 | 16.67 | 800 | 3.3297 | |
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| 3.0234 | 18.75 | 900 | 3.1869 | |
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| 2.8863 | 20.83 | 1000 | 3.0530 | |
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| 2.7463 | 22.92 | 1100 | 2.9420 | |
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| 2.6025 | 25.0 | 1200 | 2.8200 | |
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| 2.4935 | 27.08 | 1300 | 2.7207 | |
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| 2.3695 | 29.17 | 1400 | 2.6279 | |
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| 2.2666 | 31.25 | 1500 | 2.5470 | |
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| 2.1584 | 33.33 | 1600 | 2.4736 | |
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| 2.0767 | 35.42 | 1700 | 2.4043 | |
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| 2.0374 | 37.5 | 1800 | 2.3516 | |
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| 1.9982 | 39.58 | 1900 | 2.3028 | |
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| 1.9241 | 41.67 | 2000 | 2.2679 | |
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| 1.8844 | 43.75 | 2100 | 2.2384 | |
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| 1.8488 | 45.83 | 2200 | 2.2143 | |
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| 1.8441 | 47.92 | 2300 | 2.1988 | |
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| 1.8368 | 50.0 | 2400 | 2.1952 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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