license: apache-2.0 | |
tags: | |
- summarization | |
- generated_from_trainer | |
metrics: | |
- rouge | |
base_model: sshleifer/distilbart-cnn-12-6 | |
model-index: | |
- name: etsummerizer_v2 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# etsummerizer_v2 | |
This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.3484 | |
- Rouge1: 0.5448 | |
- Rouge2: 0.3092 | |
- Rougel: 0.4363 | |
- Rougelsum: 0.4370 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | |
| 3.5 | 1.0 | 30 | 0.5565 | 0.5111 | 0.2863 | 0.4092 | 0.4093 | | |
| 0.3056 | 2.0 | 60 | 0.3612 | 0.5267 | 0.3021 | 0.4277 | 0.4286 | | |
| 0.1716 | 3.0 | 90 | 0.3484 | 0.5448 | 0.3092 | 0.4363 | 0.4370 | | |
### Framework versions | |
- Transformers 4.30.2 | |
- Pytorch 2.0.0+cpu | |
- Datasets 2.1.0 | |
- Tokenizers 0.13.3 | |