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llama_3_3epochs – AI Model by Surabhi-K | AlphaNeural AI

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Surabhi-K/
llama_3_3epochs

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meta-llama/Meta-Llama-3-8B

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trainer

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0849
eval_runtime: 37.5454
eval_samples_per_second: 0.692
eval_steps_per_second: 0.346
epoch: 3.0
step: 354

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2