metadata
license: apache-2.0
base_model: baek26/wiki_asp-animal_2910_bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wiki_asp-animal_4639_wiki_asp-animal_2910_bart-base
results: []
wiki_asp-animal_4639_wiki_asp-animal_2910_bart-base
This model is a fine-tuned version of baek26/wiki_asp-animal_2910_bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5290
- Rouge1: 0.1446
- Rouge2: 0.0631
- Rougel: 0.1276
- Rougelsum: 0.1277
- Gen Len: 15.8808
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 | 2.5627 | 0.1435 | 0.0614 | 0.1262 | 0.1261 | 15.9017 |
| No log | 3.87 | 1000 | 2.5538 | 0.1373 | 0.0583 | 0.121 | 0.1212 | 15.4998 |
| No log | 5.8 | 1500 | 2.5393 | 0.1465 | 0.0638 | 0.1295 | 0.1297 | 16.0893 |
| 2.3118 | 7.74 | 2000 | 2.5336 | 0.1517 | 0.0666 | 0.1336 | 0.1339 | 16.2204 |
| 2.3118 | 9.67 | 2500 | 2.5290 | 0.1446 | 0.0631 | 0.1276 | 0.1277 | 15.8808 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2