git-base-xr

rharris117/git-base-xr

git-base-xr is a image-text-to-text model from rharris117. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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Hugging Face

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At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Jan 4, 2024
Updated: Jan 4, 2024
SHA: 571f47a0

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Model card

From the Hugging Face model README

git-base-xr

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0641
Bleu: 9.4387

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
3.5821	5.26	50	1.2163	4.6142
0.8599	10.53	100	0.8719	10.5680
0.5491	15.79	150	0.8546	9.7374
0.3605	21.05	200	0.8975	10.2395
0.2409	26.32	250	0.9652	9.8718
0.1664	31.58	300	1.0042	11.7264
0.1234	36.84	350	1.0462	10.5668
0.1002	42.11	400	1.0569	9.7232
0.0876	47.37	450	1.0641	9.4387

Framework versions

Transformers 4.27.3
Pytorch 2.1.0+cu121
Datasets 2.14.7
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Jan 4, 2024
Updated: Jan 4, 2024