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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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datasets:
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- imdb
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metrics:
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- accuracy
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- f1
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model-index:
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- name: tiny-mlm-imdb-target-imdb
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: imdb
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type: imdb
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config: plain_text
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split: train
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args: plain_text
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.88952
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- name: F1
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type: f1
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value: 0.9415301240526694
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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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# tiny-mlm-imdb-target-imdb
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This model is a fine-tuned version of [muhtasham/tiny-mlm-imdb](https://huggingface.co/muhtasham/tiny-mlm-imdb) on the imdb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2699
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- Accuracy: 0.8895
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- F1: 0.9415
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: constant
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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.5432 | 0.64 | 500 | 0.3567 | 0.8578 | 0.9235 |
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| 0.366 | 1.28 | 1000 | 0.3687 | 0.8414 | 0.9138 |
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| 0.32 | 1.92 | 1500 | 0.2648 | 0.8922 | 0.9430 |
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| 0.2868 | 2.56 | 2000 | 0.3868 | 0.8314 | 0.9079 |
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| 0.2671 | 3.2 | 2500 | 0.3092 | 0.8774 | 0.9347 |
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| 0.248 | 3.84 | 3000 | 0.2699 | 0.8895 | 0.9415 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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