transformers pytorch bert fill-mask generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-mol-mlm-0.3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-mol-mlm-0.3

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7383

## 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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 70   | 1.1518          |
| No log        | 2.0   | 140  | 0.9808          |
| 1.2493        | 3.0   | 210  | 0.9117          |
| 1.2493        | 4.0   | 280  | 0.8540          |
| 1.2493        | 5.0   | 350  | 0.8172          |
| 0.8816        | 6.0   | 420  | 0.8098          |
| 0.8816        | 7.0   | 490  | 0.7758          |
| 0.8816        | 8.0   | 560  | 0.7625          |
| 0.7906        | 9.0   | 630  | 0.7569          |
| 0.7906        | 10.0  | 700  | 0.7460          |
| 0.7906        | 11.0  | 770  | 0.7504          |
| 0.7557        | 12.0  | 840  | 0.7353          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3
