metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-100-MDS
results: []
led-base-16384-100-MDS
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: 4.1425
- Rouge1: 16.7324
- Rouge2: 5.8501
- Rougel: 13.908
- Rougelsum: 13.8469
- Gen Len: 20.0
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 3.6187 | 15.1426 | 4.2468 | 13.4488 | 13.38 | 20.0 |
| No log | 2.0 | 50 | 3.9873 | 13.4341 | 3.3283 | 10.2739 | 10.8229 | 20.0 |
| No log | 3.0 | 75 | 4.0264 | 18.1891 | 5.3395 | 15.0797 | 15.3586 | 20.0 |
| No log | 4.0 | 100 | 4.0929 | 17.0091 | 5.5336 | 14.4381 | 14.5149 | 19.5 |
| No log | 5.0 | 125 | 4.1425 | 16.7324 | 5.8501 | 13.908 | 13.8469 | 20.0 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2
- Datasets 1.18.3
- Tokenizers 0.11.0