---
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
model-index:
- name: Trying_LED_Model_Hiporank_final_setting.ipynb
  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. -->

# Trying_LED_Model_Hiporank_final_setting.ipynb

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5873

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.8616        | 0.1008 | 10   | 2.8924          |
| 2.8923        | 0.2015 | 20   | 2.8183          |
| 2.9791        | 0.3023 | 30   | 2.7639          |
| 2.9044        | 0.4030 | 40   | 2.7276          |
| 2.428         | 0.5038 | 50   | 2.7162          |
| 2.9009        | 0.6045 | 60   | 2.6943          |
| 2.9211        | 0.7053 | 70   | 2.6682          |
| 2.7291        | 0.8060 | 80   | 2.6528          |
| 2.6494        | 0.9068 | 90   | 2.6525          |
| 2.7393        | 1.0076 | 100  | 2.6357          |
| 2.3916        | 1.1083 | 110  | 2.6384          |
| 2.4493        | 1.2091 | 120  | 2.6262          |
| 2.4752        | 1.3098 | 130  | 2.6014          |
| 2.1968        | 1.4106 | 140  | 2.6068          |
| 2.538         | 1.5113 | 150  | 2.5980          |
| 2.4522        | 1.6121 | 160  | 2.5959          |
| 2.4397        | 1.7128 | 170  | 2.6017          |
| 2.4763        | 1.8136 | 180  | 2.5837          |
| 1.999         | 1.9144 | 190  | 2.5749          |
| 2.0956        | 2.0151 | 200  | 2.5696          |
| 2.1285        | 2.1159 | 210  | 2.6099          |
| 2.1804        | 2.2166 | 220  | 2.5931          |
| 2.0031        | 2.3174 | 230  | 2.5913          |
| 2.094         | 2.4181 | 240  | 2.5875          |
| 2.2214        | 2.5189 | 250  | 2.5639          |
| 2.0745        | 2.6196 | 260  | 2.5723          |
| 2.3377        | 2.7204 | 270  | 2.5750          |
| 1.9967        | 2.8212 | 280  | 2.5710          |
| 2.1091        | 2.9219 | 290  | 2.5694          |
| 2.0384        | 3.0227 | 300  | 2.5606          |
| 1.9828        | 3.1234 | 310  | 2.5971          |
| 2.1608        | 3.2242 | 320  | 2.5857          |
| 1.9558        | 3.3249 | 330  | 2.5793          |
| 2.0719        | 3.4257 | 340  | 2.5769          |
| 1.8055        | 3.5264 | 350  | 2.5804          |
| 2.0445        | 3.6272 | 360  | 2.5758          |
| 2.0795        | 3.7280 | 370  | 2.5924          |
| 2.073         | 3.8287 | 380  | 2.5745          |
| 2.0314        | 3.9295 | 390  | 2.5697          |
| 2.0928        | 4.0302 | 400  | 2.5731          |
| 1.9158        | 4.1310 | 410  | 2.5942          |
| 2.054         | 4.2317 | 420  | 2.5846          |
| 1.8497        | 4.3325 | 430  | 2.5963          |
| 1.8353        | 4.4332 | 440  | 2.5943          |
| 1.9786        | 4.5340 | 450  | 2.5891          |
| 1.9003        | 4.6348 | 460  | 2.5914          |
| 1.9248        | 4.7355 | 470  | 2.5876          |
| 2.1843        | 4.8363 | 480  | 2.5873          |
| 1.9193        | 4.9370 | 490  | 2.5873          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1