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Jonasbukhave/
shawgpt-ft-LoRA-rank-25

Name: shawgpt-ft-LoRA-rank-25
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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shawgpt-ft-LoRA-rank-25

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: 3.1476

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
8.5018	0.5714	1	4.2401
8.5156	1.5714	2	4.1397
8.0142	2.5714	3	3.9181
7.6452	3.5714	4	3.7279
7.2298	4.5714	5	3.5672
6.9677	5.5714	6	3.4304
6.7319	6.5714	7	3.3188
6.5321	7.5714	8	3.2340
6.3993	8.5714	9	3.1764
3.0991	9.5714	10	3.1476

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0

Jonasbukhave/shawgpt-ft-LoRA-rank-25

shawgpt-ft-LoRA-rank-25

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jonasbukhave/
shawgpt-ft-LoRA-rank-25