---
library_name: transformers
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Finetuning_Longformer_IMDb_movie_reviews_Classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Finetuning_Longformer_IMDb_movie_reviews_Classification

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: 0.6015
- Accuracy: 0.907
- F1: 0.9070

## 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: Use 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4127        | 1.0   | 9000  | 0.5397          | 0.8718   | 0.8710 |
| 0.3234        | 2.0   | 18000 | 0.4125          | 0.9058   | 0.9057 |
| 0.2301        | 3.0   | 27000 | 0.5200          | 0.902    | 0.9019 |
| 0.1731        | 4.0   | 36000 | 0.5431          | 0.9055   | 0.9055 |
| 0.0895        | 5.0   | 45000 | 0.6015          | 0.907    | 0.9070 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3