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Dhanunjaiah/
TinyMistral-specific-4bit

Name: TinyMistral-specific-4bit
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

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

adapter

apache-2.0

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TinyMistral-specific-4bit

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: 1.1940

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: Use 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
1.7744	0.8696	5	1.5917
1.3359	1.9130	11	1.4566
1.254	2.9565	17	1.3934
1.1805	4.0	23	1.3203
1.3421	4.8696	28	1.2766
1.0701	5.9130	34	1.2354
1.0341	6.9565	40	1.2107
1.0113	8.0	46	1.1974
1.0482	8.6957	50	1.1940

Framework versions

PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3

Dhanunjaiah/TinyMistral-specific-4bit

TinyMistral-specific-4bit

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dhanunjaiah/
TinyMistral-specific-4bit