---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: frame_classification_longformer_earlystopping_2
  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. -->

# frame_classification_longformer_earlystopping_2

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: 0.5698
- Accuracy: 0.9317
- F1: 0.9601
- Precision: 0.9346
- Recall: 0.9869

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8651        | 1.0   | 1288  | 1.1520          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.7998        | 2.0   | 2576  | 0.6925          | 0.9130   | 0.9495 | 0.9181    | 0.9832 |
| 0.6819        | 3.0   | 3864  | 0.4349          | 0.9255   | 0.9560 | 0.9404    | 0.9720 |
| 0.7033        | 4.0   | 5152  | 0.5836          | 0.9224   | 0.9547 | 0.9278    | 0.9832 |
| 0.757         | 5.0   | 6440  | 0.5795          | 0.9224   | 0.9544 | 0.9339    | 0.9757 |
| 0.6963        | 6.0   | 7728  | 0.5488          | 0.9317   | 0.9599 | 0.9393    | 0.9813 |
| 0.6656        | 7.0   | 9016  | 0.6232          | 0.9255   | 0.9564 | 0.9311    | 0.9832 |
| 0.6957        | 8.0   | 10304 | 0.6441          | 0.9255   | 0.9564 | 0.9311    | 0.9832 |
| 0.6852        | 9.0   | 11592 | 0.6009          | 0.9224   | 0.9548 | 0.9263    | 0.9851 |
| 0.6846        | 10.0  | 12880 | 0.5947          | 0.9255   | 0.9564 | 0.9311    | 0.9832 |
| 0.728         | 11.0  | 14168 | 0.5873          | 0.9224   | 0.9550 | 0.9219    | 0.9907 |
| 0.6456        | 12.0  | 15456 | 0.5781          | 0.9332   | 0.9609 | 0.9363    | 0.9869 |
| 0.662         | 13.0  | 16744 | 0.5128          | 0.9301   | 0.9588 | 0.9408    | 0.9776 |
| 0.6017        | 14.0  | 18032 | 0.6430          | 0.9177   | 0.9514 | 0.9351    | 0.9683 |
| 0.7525        | 15.0  | 19320 | 0.5631          | 0.9193   | 0.9522 | 0.9384    | 0.9664 |
| 0.6802        | 16.0  | 20608 | 0.5949          | 0.9224   | 0.9544 | 0.9339    | 0.9757 |
| 0.6489        | 17.0  | 21896 | 0.6540          | 0.9022   | 0.9416 | 0.9355    | 0.9478 |
| 0.707         | 18.0  | 23184 | 0.5921          | 0.9239   | 0.9554 | 0.9325    | 0.9795 |
| 0.7158        | 19.0  | 24472 | 0.6170          | 0.9255   | 0.9564 | 0.9311    | 0.9832 |
| 0.6264        | 20.0  | 25760 | 0.5303          | 0.9348   | 0.9617 | 0.9395    | 0.9851 |
| 0.6667        | 21.0  | 27048 | 0.6288          | 0.9255   | 0.9566 | 0.9281    | 0.9869 |
| 0.6648        | 22.0  | 28336 | 0.6579          | 0.9208   | 0.9540 | 0.9232    | 0.9869 |
| 0.6204        | 23.0  | 29624 | 0.5716          | 0.9301   | 0.9592 | 0.9330    | 0.9869 |
| 0.6693        | 24.0  | 30912 | 0.6138          | 0.9270   | 0.9575 | 0.9282    | 0.9888 |
| 0.6555        | 25.0  | 32200 | 0.6369          | 0.9255   | 0.9566 | 0.9281    | 0.9869 |
| 0.6446        | 26.0  | 33488 | 0.5609          | 0.9301   | 0.9591 | 0.9345    | 0.9851 |
| 0.6675        | 27.0  | 34776 | 0.5622          | 0.9301   | 0.9591 | 0.9361    | 0.9832 |
| 0.5946        | 28.0  | 36064 | 0.5740          | 0.9301   | 0.9591 | 0.9345    | 0.9851 |
| 0.5707        | 29.0  | 37352 | 0.5661          | 0.9317   | 0.9601 | 0.9346    | 0.9869 |
| 0.6703        | 30.0  | 38640 | 0.5698          | 0.9317   | 0.9601 | 0.9346    | 0.9869 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2