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idefics2-8b-vqa_path-finetuned – AI Model by rinogrego | AlphaNeural AI
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idefics2-8b-vqa_path-finetuned
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safetensors
generated_from_trainer
HuggingFaceM4/idefics2-8b
finetune
apache-2.0
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idefics2-8b-vqa_path-finetuned
This model is a fine-tuned version of
HuggingFaceM4/idefics2-8b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9422
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: 0.0003
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.874
0.4070
2000
0.9289
1.4829
0.8140
4000
1.3919
1.5202
1.2210
6000
1.3825
1.2891
1.6280
8000
1.2521
1.0616
2.0350
10000
1.1445
0.9254
2.4420
12000
1.0195
0.8157
2.8490
14000
0.9422
Framework versions
Transformers 4.42.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
