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---
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
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