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Angelectronic/
llama3-chat_QA-test

Name: llama3-chat_QA-test
Availability: InStock

generated_from_trainer

unsloth/llama-3-8b-Instruct-bnb-4bit

adapter

apache-2.0

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llama3-chat_QA-test

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0283

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.0046	0.2928	100	1.8727
1.7686	0.5857	200	1.8637
1.6753	0.8785	300	1.8871
1.5211	1.1713	400	1.9180
1.4003	1.4641	500	1.9352
1.3533	1.7570	600	1.9609
1.2794	2.0498	700	2.0143
1.1736	2.3426	800	2.0222
1.1609	2.6354	900	2.0301
1.1577	2.9283	1000	2.0283

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Angelectronic/llama3-chat_QA-test

llama3-chat_QA-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Angelectronic/
llama3-chat_QA-test