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Ranjit
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test_4

Text Classification
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PyTorch
bert
Generated from Trainer
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End of training

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  1. README.md +80 -0
  2. config.json +331 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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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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+
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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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+
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+ # massive_indo
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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