MiniCPM-V-2_6_lora_20240916_155621

muhtasham/MiniCPM-V-2_6_lora_20240916_155621

MiniCPM-V-2_6_lora_20240916_155621 is a machine learning model from muhtasham. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.

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

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Repo size

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Hugging Face

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At a glance

Library: peft
Access: Public
Created: Sep 16, 2024
Updated: Sep 16, 2024
SHA: 81eb4d02

Base models

openbmb/MiniCPM-V-2_6

Model card

From the Hugging Face model README

MiniCPM-V-2_6_lora_20240916_155621

This model is a fine-tuned version of openbmb/MiniCPM-V-2_6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2347

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.05
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1221	0.2430	100	0.2809
0.1534	0.4860	200	0.2695
0.1055	0.7290	300	0.2456
0.0828	0.9721	400	0.2336
0.1028	1.2151	500	0.2355
0.0444	1.4581	600	0.2294
0.054	1.7011	700	0.2347

Framework versions

PEFT 0.12.0
Transformers 4.40.0
Pytorch 2.1.2+cu121
Tokenizers 0.19.1

Library: peft
Created: Sep 16, 2024
Updated: Sep 16, 2024