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

# out_base_W

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0009
- Accuracy: 0.6471
- F1: 0.6242
- Cohen Kappa: 0.4456

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Cohen Kappa |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------:|
| 0.7956        | 1.0   | 134  | 0.7777          | 0.6499   | 0.5946 | 0.4277      |
| 0.7351        | 2.0   | 268  | 0.7918          | 0.5854   | 0.5813 | 0.3401      |
| 0.5332        | 3.0   | 402  | 0.7313          | 0.6471   | 0.6191 | 0.4461      |
| 0.5739        | 4.0   | 536  | 0.9479          | 0.6359   | 0.5965 | 0.4022      |
| 0.3323        | 5.0   | 670  | 1.0009          | 0.6471   | 0.6242 | 0.4456      |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2