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qlora

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qlora

This model is a fine-tuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T on the None dataset.

Model description

More information needed

Intended uses & limitations

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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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 200
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

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Model tree for aovolkov/qlora

Base model

TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T

Finetuned

(4)

this model

Evaluation results

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