metadata
license: bigscience-bloom-rail-1.0
langs:
- es
tags:
- generated_from_trainer
- summarization
- Spanish summarizing
model-index:
- name: bloom-560m-finetuned-wikilingua-spanish-summarization
results: []
bloom-560m-finetuned-wikilingua-spanish-summarization
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1223
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: 2
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4768 | 0.07 | 500 | 2.4828 |
| 2.428 | 0.14 | 1000 | 2.4125 |
| 2.4 | 0.2 | 1500 | 2.3927 |
| 2.3685 | 0.27 | 2000 | 2.3506 |
| 2.3287 | 0.34 | 2500 | 2.3340 |
| 2.3196 | 0.41 | 3000 | 2.3284 |
| 2.2885 | 0.48 | 3500 | 2.3005 |
| 2.2646 | 0.55 | 4000 | 2.2944 |
| 2.2676 | 0.68 | 5000 | 2.2575 |
| 2.2267 | 0.82 | 6000 | 2.2281 |
| 2.1971 | 0.95 | 7000 | 2.2018 |
| 2.009 | 1.09 | 8000 | 2.1925 |
| 1.9989 | 1.23 | 9000 | 2.1765 |
| 2.0131 | 1.36 | 10000 | 2.1666 |
| 1.9765 | 1.5 | 11000 | 2.1514 |
| 1.9449 | 1.64 | 12000 | 2.1404 |
| 1.9399 | 1.77 | 13000 | 2.1297 |
| 1.957 | 1.91 | 14000 | 2.1223 |
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.13.0