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nikniksen/
tmjgpt-ft

Name: tmjgpt-ft
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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TMJgpt-ft

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: 3.3234

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
1.9423	1.0	1	3.9858
1.9404	2.0	2	3.9314
1.974	3.0	3	3.8068
1.8247	4.0	4	3.6860
1.7804	5.0	5	3.5791
1.6929	6.0	6	3.4900
1.6617	7.0	7	3.4212
1.5972	8.0	8	3.3715
1.5936	9.0	9	3.3391
1.5556	10.0	10	3.3234

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

nikniksen/tmjgpt-ft

TMJgpt-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nikniksen/
tmjgpt-ft