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ITT-AF_-_ITT-AF-PLM-2.2B_v0.1-4bits
RichardErkhov/ITT-AF_-_ITT-AF-PLM-2.2B_v0.1-4bits
ITT-AF_-_ITT-AF-PLM-2.2B_v0.1-4bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
ITT-AF-PLM-2.2B_v0.1 - bnb 4bits
- Model creator: https://huggingface.co/ITT-AF/
- Original model: https://huggingface.co/ITT-AF/ITT-AF-PLM-2.2B_v0.1/
Original model description:
license: cc-by-nc-4.0
ITT-AF/ITT-AF-PLM-2.2B_v0.1
This model is a pretrained version on custom dataset(110G).
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
The data used to train the model is collected from various sources, mostly from the Web. As such, it contains offensive, harmful and biased content. We thus expect the model to exhibit such biases from the training data.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.0.0
- Tokenizers 0.15.0
- Type
- llama
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025