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End of training

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  1. README.md +74 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: gokuls/HBERTv1_48_L12_H768_A12
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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: HBERTv1_48_L12_H768_A12_massive_data_augmented
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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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+ # HBERTv1_48_L12_H768_A12_massive_data_augmented
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+
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+ This model is a fine-tuned version of [gokuls/HBERTv1_48_L12_H768_A12](https://huggingface.co/gokuls/HBERTv1_48_L12_H768_A12) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6902
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+ - Accuracy: 0.8377
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 33
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+ - distributed_type: multi-GPU
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.0914 | 1.0 | 4000 | 0.6902 | 0.8377 |
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+ | 0.6178 | 2.0 | 8000 | 0.6890 | 0.8283 |
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+ | 0.463 | 3.0 | 12000 | 0.7721 | 0.8254 |
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+ | 0.3683 | 4.0 | 16000 | 0.7829 | 0.8288 |
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+ | 0.3005 | 5.0 | 20000 | 0.8556 | 0.8303 |
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+ | 0.2502 | 6.0 | 24000 | 0.9171 | 0.8214 |
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+ | 0.2106 | 7.0 | 28000 | 1.0074 | 0.8160 |
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+ | 0.1779 | 8.0 | 32000 | 1.0923 | 0.8239 |
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+ | 0.1506 | 9.0 | 36000 | 1.1525 | 0.8254 |
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+ | 0.1259 | 10.0 | 40000 | 1.2103 | 0.8249 |
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+ | 0.1059 | 11.0 | 44000 | 1.3093 | 0.8269 |
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+ | 0.0894 | 12.0 | 48000 | 1.4000 | 0.8288 |
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+ | 0.0745 | 13.0 | 52000 | 1.5050 | 0.8313 |
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+ | 0.0624 | 14.0 | 56000 | 1.5424 | 0.8288 |
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+ | 0.0521 | 15.0 | 60000 | 1.5973 | 0.8308 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 1.14.0a0+410ce96
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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