---
base_model: seyonec/ChemBERTa-zinc-base-v1
tags:
- generated_from_trainer
model-index:
- name: ChemBERTa-zinc-base-v1-finetuned-tchard
  results: []
---

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# ChemBERTa-zinc-base-v1-finetuned-tchard

This model is a fine-tuned version of [seyonec/ChemBERTa-zinc-base-v1](https://huggingface.co/seyonec/ChemBERTa-zinc-base-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0402

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1140 | 0.1824          |
| 0.7769        | 2.0   | 2280 | 0.0526          |
| 0.0926        | 3.0   | 3420 | 0.0407          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3