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gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial – AI Model by gimarchetti | AlphaNeural AI
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gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
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safetensors
generated_from_trainer
HuggingFaceM4/idefics2-8b
finetune
apache-2.0
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gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of
HuggingFaceM4/idefics2-8b
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.8915
eval_runtime: 91.835
eval_samples_per_second: 2.178
eval_steps_per_second: 1.089
epoch: 2.0
step: 100
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
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
Framework versions
Transformers 4.41.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1
