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bloom-560m-finetuned-2 – AI Model by prabal1221 | AlphaNeural AI

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prabal1221/
bloom-560m-finetuned-2

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bigscience/bloom-560m

bigscience-bloom-rail-1.0

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bloom-560m-finetuned-2

This model is a fine-tuned version of bigscience/bloom-560m on the None 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0