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bloom_1B_4bit_qlora_arc – AI Model by SaiedAlshahrani | AlphaNeural AI

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SaiedAlshahrani/
bloom_1B_4bit_qlora_arc

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asas-ai/bloom_1B_8bit

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bloom_1B_4bit_qlora_arc

This model is a fine-tuned version of asas-ai/bloom_1B_8bit on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 2200

Training results

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.4.0
Tokenizers 0.12.1