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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ ---
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+ # ITT-AF/ITT-AF-PLM-1.4B_v0.2
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+
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+ This model is a pretrained version on custom dataset(110G).
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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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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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+ ```
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+ text = "ν•œκ΅­μ˜ μˆ˜λ„λŠ”"
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+ gen_text = "ν•œκ΅­μ˜ μˆ˜λ„λŠ” μ„œμšΈμ΄λ‹€. κ·ΈλŸ¬λ‚˜ μ„œμšΈμ΄λΌλŠ” λ„μ‹œλŠ” κ·Έ μžμ²΄κ°€ ν•˜λ‚˜μ˜ κ±°λŒ€ν•œ λ„μ‹œλ‹€. μ„œμšΈμ˜ 쀑심은 κ΄‘ν™”λ¬Έκ΄‘μž₯이닀."
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+ ```
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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