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Ferdi/
Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs

Name: Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs
Availability: InStock

generated_from_trainer

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

adapter

apache-2.0

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Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-AWQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4099

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: 0.0005
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.2685	10	1.6147
1.9334	0.5369	20	0.7459
1.9334	0.8054	30	0.5961
0.6653	1.0738	40	0.5019
0.6653	1.3423	50	0.4420
0.4616	1.6107	60	0.4234
0.4616	1.8792	70	0.4099

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Ferdi/Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs

Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ferdi/
Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs