---
license: mit
base_model: clefourrier/pcqm4mv2_graphormer_base
tags:
- generated_from_trainer
model-index:
- name: graph-classification-molhiv-test
  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. -->

# graph-classification-molhiv-test

This model is a fine-tuned version of [clefourrier/pcqm4mv2_graphormer_base](https://huggingface.co/clefourrier/pcqm4mv2_graphormer_base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1108

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1793        | 1.0   | 13   | 0.1181          |
| 0.0739        | 2.0   | 26   | 0.1084          |
| 0.0716        | 3.0   | 39   | 0.1108          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1