rohitsaxena
/

test

Generated from Trainer

Model card Files Files and versions Metrics Training metrics Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

test

This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7232
Bleu: 0.0387
Rouge1: 0.2677
Rouge2: 0.0882
Rougel: 0.2007
Bertscore Precision: 0.6978
Bertscore Recall: 0.7745
Bertscore F1: 0.7341

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: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge1	Rouge2	Rougel	Bertscore Precision	Bertscore Recall	Bertscore F1
No log	0.0495	1	2.7394	0.0387	0.2665	0.0883	0.1998	0.6979	0.7743	0.7340
No log	0.0991	2	2.7232	0.0387	0.2677	0.0882	0.2007	0.6978	0.7745	0.7341

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.2.0a0+81ea7a4
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 0

Inference API

Unable to determine this model’s pipeline type. Check the docs .

Model tree for rohitsaxena/test

Base model

llava-hf/llava-1.5-7b-hf

Adapter

(103)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard