---
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased-finetuned-mol-mlm-0.3-5epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# scibert_scivocab_uncased-finetuned-mol-mlm-0.3-5epochs

This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5835

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8759        | 1.0   | 180  | 0.6795          |
| 0.6773        | 2.0   | 360  | 0.6306          |
| 0.6255        | 3.0   | 540  | 0.5880          |
| 0.5912        | 4.0   | 720  | 0.5707          |
| 0.5783        | 5.0   | 900  | 0.5724          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1