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AmaanUsmani/
Finetune-test3

Name: Finetune-test3
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

apache-2.0

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Finetune-test3

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6143

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1515	0.9956	56	0.7617
0.7099	1.9911	112	0.6591
0.6427	2.9867	168	0.6336
0.5897	4.0	225	0.6145
0.5634	4.9956	281	0.6038
0.5328	5.9911	337	0.6003
0.5084	6.9867	393	0.6019
0.4793	8.0	450	0.6030
0.4718	8.9956	506	0.6088
0.4559	9.9556	560	0.6143

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.0.1+cu118
Datasets 2.19.0
Tokenizers 0.19.1

AmaanUsmani/Finetune-test3

Finetune-test3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AmaanUsmani/
Finetune-test3