---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- scirepeval
model-index:
- name: bert-base-uncased-MLP-scirepeval-chemistry-LARGE
  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-MLP-scirepeval-chemistry-LARGE

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the scirepeval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7126

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2387        | 1.0   | 1407  | 1.9832          |
| 2.0503        | 2.0   | 2814  | 1.8959          |
| 1.9684        | 3.0   | 4221  | 1.8506          |
| 1.9195        | 4.0   | 5628  | 1.8186          |
| 1.8864        | 5.0   | 7035  | 1.8010          |
| 1.8551        | 6.0   | 8442  | 1.7677          |
| 1.8311        | 7.0   | 9849  | 1.7436          |
| 1.8185        | 8.0   | 11256 | 1.7415          |
| 1.8013        | 9.0   | 12663 | 1.7315          |
| 1.796         | 10.0  | 14070 | 1.7378          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3