imdb_classification_on_roberta
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README.md
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---
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license: mit
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base_model: roberta-base
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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: imdb_classification_roberta
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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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# imdb_classification_roberta
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4875
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- Accuracy: 0.9528
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- F1 Macro: 0.9528
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
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| 0.2908 | 1.0 | 1250 | 0.2142 | 0.932 | 0.9320 |
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| 0.1622 | 2.0 | 2500 | 0.1922 | 0.9466 | 0.9466 |
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| 0.1209 | 3.0 | 3750 | 0.2954 | 0.946 | 0.9460 |
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| 0.0637 | 4.0 | 5000 | 0.3002 | 0.9442 | 0.9442 |
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| 0.0704 | 5.0 | 6250 | 0.2952 | 0.9458 | 0.9458 |
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| 0.0353 | 6.0 | 7500 | 0.3503 | 0.9504 | 0.9504 |
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| 0.0105 | 7.0 | 8750 | 0.4805 | 0.943 | 0.9430 |
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| 0.0011 | 8.0 | 10000 | 0.4801 | 0.9492 | 0.9492 |
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| 0.011 | 9.0 | 11250 | 0.5184 | 0.9488 | 0.9488 |
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| 0.0013 | 10.0 | 12500 | 0.5328 | 0.9486 | 0.9486 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Apr11_03-16-02_db85116d7840/events.out.tfevents.1712807868.db85116d7840.1845.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:66e7ebdf75c2a23561832e39aa9d844f30bc7bc3c8e34406fbca6eccc54ece74
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size 463
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