---
library_name: peft
license: apache-2.0
base_model: ibm/MoLFormer-XL-both-10pct
tags:
- generated_from_trainer
model-index:
- name: Freesolv
  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. -->

# Freesolv

This model is a fine-tuned version of [ibm/MoLFormer-XL-both-10pct](https://huggingface.co/ibm/MoLFormer-XL-both-10pct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.5598
- Mse: 8.5598

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 32   | 12.5710         | 12.5710 |
| No log        | 2.0   | 64   | 10.1404         | 10.1404 |
| No log        | 3.0   | 96   | 9.0233          | 9.0233  |
| 20.1739       | 4.0   | 128  | 8.6011          | 8.6011  |
| 20.1739       | 5.0   | 160  | 8.5598          | 8.5598  |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0