|
|
--- |
|
|
license: mit |
|
|
tags: |
|
|
- generated_from_keras_callback |
|
|
- summarization |
|
|
model-index: |
|
|
- name: KostiuchenkoArtem/bart_large_multi_modified |
|
|
results: [] |
|
|
datasets: |
|
|
- multi_news |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# KostiuchenkoArtem/bart_large_multi_modified |
|
|
|
|
|
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on Multi-News dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Train Loss: 1.8945 |
|
|
- Validation Loss: 2.1223 |
|
|
- Epoch: 1 |
|
|
|
|
|
## 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: |
|
|
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
|
|
- training_precision: float32 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|
|:----------:|:---------------:|:-----:| |
|
|
| 2.2231 | 2.1476 | 0 | |
|
|
| 1.8945 | 2.1223 | 1 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.29.2 |
|
|
- TensorFlow 2.12.0 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
