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---
base_model: HuggingFaceM4/idefics2-8b
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: idefics2-frozenlake
results: []
---
<!-- 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. -->
# idefics2-frozenlake
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1
Vanilla model performance on frozenlake prompts dataset:
- Exact match: 0.00%
- F1: 17.75%
Fine-tuned model performance on frozenlake prompts dataset:
- Exact match: 21.00%
- F1: 63.13%
## Model performance on frozenlake prompts dataset
Vanilla model performance:
- Exact match: 0.00%
- F1: 17.75%
Fine-tuned model performance:
- Exact match: 21.00%
- F1: 63.13%
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