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amasi/
biomistral-gptq-ft

Name: biomistral-gptq-ft
Availability: InStock

peft

safetensors

generated_from_trainer

LoneStriker/BioMistral-7B-SLERP-GPTQ

adapter

apache-2.0

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biomistral-gptq-ft

This model is a fine-tuned version of LoneStriker/BioMistral-7B-SLERP-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3391

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.9096	1.0	62	1.3700
1.3713	1.99	124	1.3455
1.3253	2.99	186	1.3391

Framework versions

PEFT 0.11.1
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

amasi/biomistral-gptq-ft

biomistral-gptq-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amasi/
biomistral-gptq-ft