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slavamarcin/
Llama-3.1-8B-Instruct-purpose_train_4bit

Name: Llama-3.1-8B-Instruct-purpose_train_4bit
Availability: InStock

generated_from_trainer

NousResearch/Meta-Llama-3.1-8B-Instruct

adapter

llama3.1

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Llama-3.1-8B-Instruct-purpose_train_4bit

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0567

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.7863	0.4202	150	1.0737
0.8792	0.8403	300	1.0567

Framework versions

PEFT 0.11.2.dev0
Transformers 4.43.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

slavamarcin/Llama-3.1-8B-Instruct-purpose_train_4bit

Llama-3.1-8B-Instruct-purpose_train_4bit

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

slavamarcin/
Llama-3.1-8B-Instruct-purpose_train_4bit