vicuna-adv-robust-u20-sft-lora

justinwangx/vicuna-adv-robust-u20-sft-lora

vicuna-adv-robust-u20-sft-lora is a machine learning model from justinwangx. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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Public

Updated Jan 1, 2024

Repo size

135 MB

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Public

Hugging Face

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.safetensors134 MB · 98%

At a glance

Access: Public
Created: Jan 1, 2024
Updated: Jan 1, 2024
SHA: d46103fa

Model card

From the Hugging Face model README

vicuna-adv-robust-u20-sft-lora

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2191

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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.5536	0.12	1	2.4988
2.5536	1.1	2	2.5688
2.5536	2.08	3	2.5704
2.5536	3.05	4	2.6317
2.5982	4.03	5	2.5004
2.5982	5.13	7	2.5414
2.5982	6.11	8	2.4437
2.5982	7.08	9	2.4887
2.5575	8.06	10	2.5658
2.5575	9.04	11	2.5603
2.5575	10.14	13	2.4061
2.5575	11.11	14	2.4262
2.5037	12.09	15	2.4319
2.5037	13.07	16	2.3978
2.5037	14.05	17	2.3657
2.5037	15.14	19	2.3580
2.4117	16.12	20	2.3231
2.4117	17.1	21	2.3328
2.4117	18.08	22	2.3051
2.4117	19.05	23	2.2653

Framework versions

Transformers 4.35.0
Pytorch 2.1.0a0+32f93b1
Datasets 2.14.6
Tokenizers 0.14.1

Created: Jan 1, 2024
Updated: Jan 1, 2024