metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: kobigbird-finetuned-Encoder-Decoder
results: []
kobigbird-finetuned-Encoder-Decoder
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4011
- Rouge1: 12.1436
- Rouge2: 2.2747
- Rougel: 11.7428
- Rougelsum: 11.7408
- 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|---|
| 5.8126 | 1.0 | 22194 | 5.7258 | 8.857 | 0.2266 | 8.6768 | 8.703 | 20.0 |
| 5.1675 | 2.0 | 44388 | 5.0540 | 7.0446 | 0.5937 | 6.8255 | 6.8637 | 20.0 |
| 4.5552 | 3.0 | 66582 | 4.6871 | 10.3238 | 1.1363 | 9.9598 | 9.9394 | 20.0 |
| 4.3369 | 4.0 | 88776 | 4.4789 | 11.0189 | 1.6226 | 10.7301 | 10.6951 | 20.0 |
| 4.0251 | 5.0 | 110970 | 4.4011 | 12.1436 | 2.2747 | 11.7428 | 11.7408 | 20.0 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1