---
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_C
  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_C

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: 0.9658
- Accuracy: 0.6246
- F1: 0.6311
- Cohen Kappa: 0.3696

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------:|
| 0.8223        | 1.0   | 134  | 0.7854          | 0.5910   | 0.5852 | 0.3170      |
| 0.7591        | 2.0   | 268  | 0.7866          | 0.6134   | 0.6161 | 0.3327      |
| 0.5501        | 3.0   | 402  | 0.7871          | 0.6443   | 0.6483 | 0.4155      |
| 0.4677        | 4.0   | 536  | 0.8966          | 0.6471   | 0.6458 | 0.4464      |
| 0.422         | 5.0   | 670  | 0.9658          | 0.6246   | 0.6311 | 0.3696      |


### Framework versions

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