---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: gm-lora-float32-idefics2-8b-midefics-cpu
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gm-lora-float32-idefics2-8b-midefics-cpu

This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7164

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3207        | 0.4211 | 20   | 1.1021          |
| 0.9194        | 0.8421 | 40   | 0.7737          |
| 0.7603        | 1.2632 | 60   | 0.7334          |
| 0.7111        | 1.6842 | 80   | 0.7164          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1