transformers safetensors bert fill-mask generated_from_trainer base_model:allenai/scibert_scivocab_uncased autotrain_compatible endpoints_compatible region:us
---
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased-finetuned-molstmraw-mlm-0.3-5epochs
  results: []
---

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# scibert_scivocab_uncased-finetuned-molstmraw-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: 0.5085

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8095        | 1.0   | 1265 | 0.6320          |
| 0.6481        | 2.0   | 2530 | 0.5629          |
| 0.5938        | 3.0   | 3795 | 0.5315          |
| 0.5664        | 4.0   | 5060 | 0.5132          |
| 0.5526        | 5.0   | 6325 | 0.5084          |


### Framework versions

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