---
base_model: jiangg/chembert_cased
tags:
- generated_from_trainer
model-index:
- name: chembert_cased-MLM-chemistry
  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. -->

# chembert_cased-MLM-chemistry

This model is a fine-tuned version of [jiangg/chembert_cased](https://huggingface.co/jiangg/chembert_cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1485

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6478        | 1.0   | 683  | 2.3777          |
| 2.4088        | 2.0   | 1366 | 2.2350          |
| 2.3112        | 3.0   | 2049 | 2.1976          |
| 2.2641        | 4.0   | 2732 | 2.1444          |
| 2.2392        | 5.0   | 3415 | 2.1437          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3