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update model card README.md
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README.md
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---
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base_model: textattack/albert-base-v2-imdb
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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: nosql-identifier-albert
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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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# nosql-identifier-albert
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This model is a fine-tuned version of [textattack/albert-base-v2-imdb](https://huggingface.co/textattack/albert-base-v2-imdb) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4351
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- Accuracy: 0.9
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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: 2e-05
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- train_batch_size: 8
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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: 15
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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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| No log | 1.0 | 40 | 0.4383 | 0.8 |
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| No log | 2.0 | 80 | 0.3771 | 0.875 |
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| No log | 3.0 | 120 | 0.2954 | 0.9 |
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| No log | 4.0 | 160 | 0.3746 | 0.85 |
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| No log | 5.0 | 200 | 0.4419 | 0.875 |
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| No log | 6.0 | 240 | 0.4913 | 0.825 |
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| No log | 7.0 | 280 | 0.4602 | 0.875 |
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| No log | 8.0 | 320 | 0.4185 | 0.925 |
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| No log | 9.0 | 360 | 0.5439 | 0.875 |
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| No log | 10.0 | 400 | 0.4071 | 0.9 |
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| No log | 11.0 | 440 | 0.5948 | 0.85 |
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| No log | 12.0 | 480 | 0.5412 | 0.875 |
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| 0.2697 | 13.0 | 520 | 0.5105 | 0.9 |
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| 0.2697 | 14.0 | 560 | 0.4590 | 0.9 |
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| 0.2697 | 15.0 | 600 | 0.4351 | 0.9 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.13.1
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- Tokenizers 0.11.0
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