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license: cc-by-nc-4.0 |
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# ITT-AF/ITT-AF-PLM-1.4B_v0.1 |
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This model is a pretrained version on custom dataset(110G). |
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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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The data used to train the model is collected from various sources, mostly from the Web. |
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As such, it contains offensive, harmful and biased content. |
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We thus expect the model to exhibit such biases from the training data. |
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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: 24 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 96 |
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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: 1.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.0.0 |
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- Tokenizers 0.15.0 |
