|
--- |
|
license: apache-2.0 |
|
base_model: mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: bert2bert |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert2bert |
|
|
|
This model is a fine-tuned version of [mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization](https://huggingface.co/mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1196 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.1386 | 1.0 | 3677 | 0.1256 | |
|
| 0.1294 | 2.0 | 7355 | 0.1227 | |
|
| 0.1233 | 3.0 | 11032 | 0.1210 | |
|
| 0.1204 | 4.0 | 14710 | 0.1200 | |
|
| 0.1191 | 5.0 | 18385 | 0.1196 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Tokenizers 0.15.2 |
|
|
