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Karun-7/
FT-DS

Name: FT-DS
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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FT-DS

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: 1.2844

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: 9
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 36
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
0.9542	1.0	1	1.8234
0.954	2.0	2	1.7674
0.9305	3.0	3	1.6566
0.8837	4.0	4	1.5636
0.843	5.0	5	1.4859
0.8086	6.0	6	1.4216
0.7804	7.0	7	1.3689
0.7578	8.0	8	1.3279
0.7405	9.0	9	1.2993
0.7283	10.0	10	1.2844

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Karun-7/FT-DS

FT-DS

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Karun-7/
FT-DS