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rnaveensrinivas/
Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT

Name: Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

adapter

apache-2.0

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Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2117

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9088	1.0	1	1.3562
0.9303	2.0	2	1.3320
0.9044	3.0	3	1.2748
0.8551	4.0	4	1.2338
0.821	5.0	5	1.2117

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

rnaveensrinivas/Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT

Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rnaveensrinivas/
Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT