End of training
Browse files- README.md +88 -0
- model.safetensors +1 -1
README.md
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---
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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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- f1
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- precision
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- recall
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model-index:
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- name: Research_paper_MLM_Final_Label
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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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# Research_paper_MLM_Final_Label
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9925
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- Accuracy: 0.8591
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- F1: 0.8575
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- Precision: 0.8712
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- Recall: 0.8591
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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: 64
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 50
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- num_epochs: 2
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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 | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.1091 | 0.04 | 500 | 0.9687 | 0.8633 | 0.8614 | 0.8791 | 0.8633 |
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| 0.1186 | 0.08 | 1000 | 1.2620 | 0.8629 | 0.8612 | 0.8769 | 0.8629 |
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| 0.2068 | 0.12 | 1500 | 2.0443 | 0.8527 | 0.8509 | 0.8659 | 0.8527 |
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| 0.42 | 0.16 | 2000 | 2.1931 | 0.8595 | 0.8574 | 0.8764 | 0.8595 |
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| 0.1435 | 0.2 | 2500 | 2.0973 | 0.8644 | 0.8625 | 0.8805 | 0.8644 |
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| 0.4373 | 0.24 | 3000 | 2.0976 | 0.8603 | 0.8580 | 0.8785 | 0.8603 |
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| 0.1527 | 0.28 | 3500 | 2.2136 | 0.8550 | 0.8532 | 0.8679 | 0.8550 |
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| 0.459 | 0.32 | 4000 | 2.0543 | 0.8610 | 0.8590 | 0.8775 | 0.8610 |
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| 0.2396 | 0.36 | 4500 | 2.1373 | 0.8565 | 0.8548 | 0.8690 | 0.8565 |
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| 0.1641 | 0.4 | 5000 | 2.2913 | 0.8557 | 0.8539 | 0.8695 | 0.8557 |
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| 0.1841 | 0.44 | 5500 | 2.1315 | 0.8539 | 0.8520 | 0.8672 | 0.8539 |
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| 0.133 | 0.48 | 6000 | 2.2268 | 0.8580 | 0.8564 | 0.8695 | 0.8580 |
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| 0.1659 | 0.52 | 6500 | 2.1685 | 0.8573 | 0.8557 | 0.8689 | 0.8573 |
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| 0.1677 | 0.56 | 7000 | 2.1515 | 0.8576 | 0.8558 | 0.8712 | 0.8576 |
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| 0.3713 | 0.6 | 7500 | 2.2057 | 0.8606 | 0.8584 | 0.8785 | 0.8606 |
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| 0.1469 | 0.64 | 8000 | 1.8279 | 0.8606 | 0.8594 | 0.8698 | 0.8606 |
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| 0.3673 | 0.68 | 8500 | 1.9808 | 0.8625 | 0.8603 | 0.8812 | 0.8625 |
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| 0.1395 | 0.72 | 9000 | 2.0565 | 0.8603 | 0.8585 | 0.8741 | 0.8603 |
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| 0.1052 | 0.76 | 9500 | 2.0813 | 0.8606 | 0.8591 | 0.8724 | 0.8606 |
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| 0.3925 | 0.8 | 10000 | 2.0700 | 0.8569 | 0.8553 | 0.8687 | 0.8569 |
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| 0.1886 | 0.84 | 10500 | 1.9925 | 0.8591 | 0.8575 | 0.8712 | 0.8591 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 498615900
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version https://git-lfs.github.com/spec/v1
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oid sha256:6783d84f4ecdb914a133aecec2a8797513b8fc89954b667df24cd2c097aa00fe
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size 498615900
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