---
tags:
- generated_from_trainer
model-index:
- name: ChemBERTa-77M-MLM-finetuned-4M_4
  results: []
---

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# ChemBERTa-77M-MLM-finetuned-4M_4

This model is a fine-tuned version of [HassanCS/ChemBERTa-77M-MLM-finetuned-4M_3](https://huggingface.co/HassanCS/ChemBERTa-77M-MLM-finetuned-4M_3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3037

## 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: 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: 3.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.2888        | 1.0   | 61007  | 0.3139          |
| 0.275         | 2.0   | 122014 | 0.3089          |
| 0.2681        | 3.0   | 183021 | 0.3037          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3