---
library_name: transformers
license: apache-2.0
base_model: ibm-research/GP-MoLFormer-Uniq
tags:
- generated_from_trainer
model-index:
- name: NPComposer-v2
  results: []
---

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should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/npcomposer/npcomposer/runs/lpvwn86m)
# NPComposer-v2

This model is a fine-tuned version of [ibm-research/GP-MoLFormer-Uniq](https://huggingface.co/ibm-research/GP-MoLFormer-Uniq) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2718

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 8.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.4069        | 1.0   | 27763  | 0.3820          |
| 0.3507        | 2.0   | 55526  | 0.3371          |
| 0.3247        | 3.0   | 83289  | 0.3142          |
| 0.3074        | 4.0   | 111052 | 0.2995          |
| 0.291         | 5.0   | 138815 | 0.2888          |
| 0.2765        | 6.0   | 166578 | 0.2803          |
| 0.2677        | 7.0   | 194341 | 0.2750          |
| 0.2569        | 8.0   | 222104 | 0.2718          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.10.0+cu128
- Datasets 2.21.0
- Tokenizers 0.19.1
  
### Hardware
1 x NVIDIA A40 48GB GPU