File size: 2,347 Bytes
ddfcc33 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-podimo-data-eval-1
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. -->
# distilbart-podimo-data-eval-1
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: 3.3983
- Rouge1: 34.6132
- Rouge2: 7.9113
- Rougel: 17.9418
- Rougelsum: 31.5251
- Gen Len: 141.5587
## 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: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 4.1934 | 0.98 | 44 | 3.7592 | 32.8148 | 6.457 | 16.8696 | 29.6986 | 141.4441 |
| 3.6362 | 1.98 | 88 | 3.5809 | 33.0442 | 6.851 | 17.1323 | 30.1382 | 141.324 |
| 3.3554 | 2.98 | 132 | 3.4835 | 33.66 | 7.1375 | 17.5152 | 30.5783 | 141.2793 |
| 3.1566 | 3.98 | 176 | 3.4301 | 34.524 | 7.757 | 17.995 | 31.5808 | 141.7151 |
| 3.0107 | 4.98 | 220 | 3.4099 | 34.3459 | 7.7512 | 18.0605 | 31.4531 | 141.4106 |
| 2.901 | 5.98 | 264 | 3.4073 | 35.028 | 7.9099 | 17.9907 | 31.8304 | 141.5419 |
| 2.8246 | 6.98 | 308 | 3.3983 | 34.1937 | 7.8606 | 17.7858 | 31.1331 | 141.5279 |
| 2.7306 | 7.98 | 352 | 3.3983 | 34.6132 | 7.9113 | 17.9418 | 31.5251 | 141.5587 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1
|