You can deploy this model and start earning money today!

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

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

generated_from_trainer

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

Views

No views yet

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

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: 1.0791

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
1.6921	0.92	3	1.5225
1.629	1.85	6	1.4415
1.5316	2.77	9	1.3478
1.0839	4.0	13	1.2525
1.3848	4.92	16	1.2006
1.3332	5.85	19	1.1594
1.2817	6.77	22	1.1265
0.9486	8.0	26	1.0928
1.2404	8.92	29	1.0804
0.8768	9.23	30	1.0791

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

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

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

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