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README.md
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---
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license: apache-2.0
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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: CR_ALBERT_5E
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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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# CR_ALBERT_5E
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3540
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- Accuracy: 0.9267
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 5
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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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| 0.5091 | 0.33 | 50 | 0.3616 | 0.86 |
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| 0.327 | 0.66 | 100 | 0.2728 | 0.9067 |
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| 0.2836 | 0.99 | 150 | 0.2753 | 0.9133 |
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| 0.1985 | 1.32 | 200 | 0.3048 | 0.9067 |
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| 0.2098 | 1.66 | 250 | 0.2365 | 0.9267 |
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| 0.2203 | 1.99 | 300 | 0.2369 | 0.9133 |
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| 0.1491 | 2.32 | 350 | 0.3029 | 0.9267 |
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| 0.1527 | 2.65 | 400 | 0.2475 | 0.9333 |
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| 0.1327 | 2.98 | 450 | 0.1993 | 0.9533 |
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| 0.0848 | 3.31 | 500 | 0.2112 | 0.9467 |
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| 0.0857 | 3.64 | 550 | 0.2498 | 0.9467 |
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| 0.089 | 3.97 | 600 | 0.3246 | 0.9333 |
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| 0.0613 | 4.3 | 650 | 0.2834 | 0.9267 |
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| 0.0355 | 4.64 | 700 | 0.3557 | 0.9333 |
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| 0.0479 | 4.97 | 750 | 0.3540 | 0.9267 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0
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- Datasets 2.3.2
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- Tokenizers 0.13.1
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