---
license: apache-2.0
base_model: jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-MLM-scirepeval-fos-chemistry-textCLS-RHEOLOGY-googleColab
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-MLM-scirepeval-fos-chemistry-textCLS-RHEOLOGY-googleColab

This model is a fine-tuned version of [jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry](https://huggingface.co/jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7407
- Accuracy: 0.7453

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3156        | 1.0   | 46   | 1.0646          | 0.6273   |
| 0.9428        | 2.0   | 92   | 0.8645          | 0.6894   |
| 0.7292        | 3.0   | 138  | 0.7951          | 0.6957   |
| 0.601         | 4.0   | 184  | 0.7518          | 0.7267   |
| 0.5369        | 5.0   | 230  | 0.7407          | 0.7453   |


### Framework versions

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