---
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: scibert-lm-v1-finetuned-20
  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. -->

# scibert-lm-v1-finetuned-20

This model is a fine-tuned version of [allenai/scibert_scivocab_cased](https://huggingface.co/allenai/scibert_scivocab_cased) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 22.6145

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0118        | 1.0   | 1756  | 15.0609         |
| 0.0001        | 2.0   | 3512  | 17.9265         |
| 0.0           | 3.0   | 5268  | 18.6256         |
| 0.0001        | 4.0   | 7024  | 19.5144         |
| 0.0002        | 5.0   | 8780  | 19.8926         |
| 0.0           | 6.0   | 10536 | 21.6975         |
| 0.0           | 7.0   | 12292 | 22.2388         |
| 0.0           | 8.0   | 14048 | 21.0441         |
| 0.0           | 9.0   | 15804 | 21.6852         |
| 0.0           | 10.0  | 17560 | 22.4439         |
| 0.0           | 11.0  | 19316 | 20.9994         |
| 0.0           | 12.0  | 21072 | 21.7275         |
| 0.0           | 13.0  | 22828 | 22.1329         |
| 0.0           | 14.0  | 24584 | 22.4599         |
| 0.0           | 15.0  | 26340 | 22.5726         |
| 0.0           | 16.0  | 28096 | 22.7823         |
| 0.0           | 17.0  | 29852 | 22.4167         |
| 0.0           | 18.0  | 31608 | 22.4075         |
| 0.0           | 19.0  | 33364 | 22.5731         |
| 0.0           | 20.0  | 35120 | 22.6145         |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1