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dmusingu/
Llama-3-8B-sft-lora-ultrachat

generated_from_trainer

generator

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

adapter

other

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Llama-3-8B-sft-lora-ultrachat

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

Loss: 1.3129

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3036	1.0	278	1.3129

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0a0+40ec155e58.nv24.03
Datasets 2.19.1
Tokenizers 0.19.1

dmusingu/Llama-3-8B-sft-lora-ultrachat

Llama-3-8B-sft-lora-ultrachat

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dmusingu/
Llama-3-8B-sft-lora-ultrachat