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---
base_model: seyonec/ChemBERTa-zinc-base-v1
tags:
- generated_from_trainer
model-index:
- name: ChemBERTa-zinc-base-v1-finetuned-tchard
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. -->
# 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
|