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results – AI Model by vsdnrdd | AlphaNeural AI

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ybelkada/falcon-7b-sharded-bf16

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results

This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.15.0