wiki_asp-animal_2910_bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5325
- Rouge1: 0.1402
- Rouge2: 0.0604
- Rougel: 0.1236
- Rougelsum: 0.1237
- Gen Len: 15.5516
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.93 | 500 | 2.7950 | 0.1206 | 0.0457 | 0.1042 | 0.1041 | 15.4938 |
| No log | 3.87 | 1000 | 2.6359 | 0.1188 | 0.0475 | 0.1039 | 0.1039 | 14.4579 |
| No log | 5.8 | 1500 | 2.5695 | 0.1373 | 0.0571 | 0.1206 | 0.1206 | 15.7157 |
| 2.9693 | 7.74 | 2000 | 2.5406 | 0.1435 | 0.0609 | 0.1266 | 0.1265 | 15.7796 |
| 2.9693 | 9.67 | 2500 | 2.5325 | 0.1402 | 0.0604 | 0.1236 | 0.1237 | 15.5516 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2