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gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
gimarchetti/gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial
gm-lora-bfloat16-idefics2-8b-docvqa-finetuned-tutorial is a machine learning model from gimarchetti. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Apr 28, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 27, 2024
- Updated
- Apr 28, 2024
- SHA
- 6acd46f1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- License
- apache-2.0
- Created
- Apr 27, 2024
- Updated
- Apr 28, 2024