metadata
library_name: transformers
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led_model
results: []
led_model
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4363
- Rouge1: 0.7117
- Rouge2: 0.5663
- Rougel: 0.684
- Rougelsum: 0.6843
- Gen Len: 15.7955
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.6184 | 0.9995 | 546 | 0.4788 | 0.699 | 0.5474 | 0.6691 | 0.6694 | 15.7362 |
| 0.4523 | 1.9991 | 1092 | 0.4435 | 0.7029 | 0.5569 | 0.6773 | 0.6773 | 15.6763 |
| 0.3732 | 2.9986 | 1638 | 0.4392 | 0.7104 | 0.565 | 0.6826 | 0.6827 | 15.8442 |
| 0.3249 | 3.9982 | 2184 | 0.4363 | 0.7117 | 0.5663 | 0.684 | 0.6843 | 15.7955 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1