idefics-9b-dresses-gpt4

MinderaLabs/idefics-9b-dresses-gpt4

idefics-9b-dresses-gpt4 is a machine learning model from MinderaLabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.

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

Downloads · 30 days

Access

Public

Updated Oct 18, 2023

Repo size

2.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin79.2 MB · 100%

At a glance

License: other
Access: Public
Created: Oct 18, 2023
Updated: Oct 18, 2023
SHA: d7d4755a

Base models

HuggingFaceM4/idefics-9b

Model card

From the Hugging Face model README

idefics-9b-dresses-gpt4

This model is a fine-tuned version of HuggingFaceM4/idefics-9b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1806

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0769	0.03	20	0.4830
0.4488	0.06	40	0.3397
0.3575	0.09	60	0.3021
0.3208	0.12	80	0.2790
0.2909	0.14	100	0.2703
0.2829	0.17	120	0.2560
0.2949	0.2	140	0.2529
0.2667	0.23	160	0.2489
0.2647	0.26	180	0.2379
0.2678	0.29	200	0.2353
0.2624	0.32	220	0.2261
0.2446	0.35	240	0.2194
0.2557	0.38	260	0.2203
0.2497	0.41	280	0.2160
0.2454	0.43	300	0.2115
0.2397	0.46	320	0.2077
0.2507	0.49	340	0.2099
0.2379	0.52	360	0.2046
0.239	0.55	380	0.2112
0.2354	0.58	400	0.2060
0.2391	0.61	420	0.2047
0.2293	0.64	440	0.2060
0.2271	0.67	460	0.2034
0.2319	0.7	480	0.1990
0.2188	0.72	500	0.2021
0.2241	0.75	520	0.1987
0.2232	0.78	540	0.1966
0.2264	0.81	560	0.1948
0.2237	0.84	580	0.1944
0.2226	0.87	600	0.1936
0.219	0.9	620	0.1927
0.2314	0.93	640	0.1903
0.2173	0.96	660	0.1924
0.2126	0.99	680	0.1917
0.2032	1.01	700	0.1932
0.2012	1.04	720	0.1883
0.2058	1.07	740	0.1910
0.1918	1.1	760	0.1866
0.1948	1.13	780	0.1859
0.195	1.16	800	0.1847
0.1957	1.19	820	0.1861
0.2009	1.22	840	0.1856
0.1908	1.25	860	0.1838
0.2069	1.28	880	0.1827
0.1985	1.3	900	0.1817
0.1888	1.33	920	0.1821
0.189	1.36	940	0.1813
0.1951	1.39	960	0.1808
0.1889	1.42	980	0.1804
0.1853	1.45	1000	0.1806

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.14.1

License: other
Created: Oct 18, 2023
Updated: Oct 18, 2023