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README.md
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results: []
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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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# argpt2-goodreads
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## Model description
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## Intended uses & limitations
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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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### Training results
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- train_loss = 1.474
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### Evaluation results
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- eval_loss = 1.4389
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- epoch = 20.0
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- train_loss = 1.474
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- train_runtime = 2:18:14.51
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- epoch = 20.0
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- eval_loss = 1.4389
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- eval_runtime = 0:04:37.01
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results: []
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# argpt2-goodreads
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## Model description
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Generate sentences either positive/negative examples based on goodreads corpus in arabic language.
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## Intended uses & limitations
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the model fine-tuned on arabic language only with aspect to generate sentences such as reviews in order todo the same for other languages you need to fine-tune it in your own.
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any harmful content generated by GPT2 should not be used in anywhere.
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## Training and evaluation data
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training and validation done on goodreads dataset LABR 80% for trainng and 20% for testing
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## Training procedure
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### Training hyperparameters
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### Training results
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- train_loss = 1.474
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### Evaluation results
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- eval_loss = 1.4389
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### train metrics
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- epoch = 20.0
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- train_loss = 1.474
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- train_runtime = 2:18:14.51
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### eval metrics
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- epoch = 20.0
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- eval_loss = 1.4389
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- eval_runtime = 0:04:37.01
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