---
library_name: transformers
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: longformer-heat_transfer-2epoch
  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. -->

# longformer-heat_transfer-2epoch

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1222
- Accuracy: 0.954
- F1: 0.9540

## 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: 5e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.5517        | 0.1111 | 50   | 0.3868          | 0.844    | 0.8440 |
| 0.4128        | 0.2222 | 100  | 0.3074          | 0.88     | 0.8800 |
| 0.3387        | 0.3333 | 150  | 0.2962          | 0.883    | 0.8829 |
| 0.2646        | 0.4444 | 200  | 0.2183          | 0.932    | 0.9320 |
| 0.4301        | 0.5556 | 250  | 0.3217          | 0.91     | 0.9100 |
| 0.2126        | 0.6667 | 300  | 0.2051          | 0.92     | 0.9197 |
| 0.2372        | 0.7778 | 350  | 0.2259          | 0.912    | 0.9119 |
| 0.2959        | 0.8889 | 400  | 0.1805          | 0.933    | 0.9327 |
| 0.1747        | 1.0    | 450  | 0.2059          | 0.937    | 0.9370 |
| 0.1974        | 1.1111 | 500  | 0.1679          | 0.942    | 0.9420 |
| 0.1445        | 1.2222 | 550  | 0.2515          | 0.924    | 0.9239 |
| 0.1711        | 1.3333 | 600  | 0.1707          | 0.932    | 0.9319 |
| 0.1797        | 1.4444 | 650  | 0.1653          | 0.942    | 0.9420 |
| 0.1149        | 1.5556 | 700  | 0.1419          | 0.954    | 0.9540 |
| 0.2704        | 1.6667 | 750  | 0.1623          | 0.942    | 0.9418 |
| 0.1502        | 1.7778 | 800  | 0.1615          | 0.944    | 0.9440 |
| 0.1408        | 1.8889 | 850  | 0.1126          | 0.953    | 0.9530 |
| 0.1222        | 2.0    | 900  | 0.1222          | 0.954    | 0.9540 |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1