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qfq/
Llama-3.1-8B-Instruct-EI2-2ep-sft

Name: Llama-3.1-8B-Instruct-EI2-2ep-sft
Availability: InStock

generated_from_trainer

qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft

finetune

llama3.1

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Llama-3.1-8B-Instruct-EI2-2ep-sft-fix

This model is a fine-tuned version of qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1677

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: 6e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
total_train_batch_size: 64
total_eval_batch_size: 512
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.5814	100	0.1754
No log	1.1628	200	0.1733
No log	1.7442	300	0.1677

Framework versions

Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1

qfq/Llama-3.1-8B-Instruct-EI2-2ep-sft

Llama-3.1-8B-Instruct-EI2-2ep-sft-fix

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

qfq/
Llama-3.1-8B-Instruct-EI2-2ep-sft