metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: inetuned-summarize-test
results: []
inetuned-summarize-test
This model is a fine-tuned version of minnehwg/inetuned-summarize-test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8961
- Rouge1: 34.2527
- Rouge2: 14.2278
- Rougel: 24.7229
- Rougelsum: 25.3930
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 0.9249 | 34.2996 | 13.7194 | 24.5150 | 25.1146 |
| 0.6471 | 2.0 | 500 | 0.9104 | 34.1716 | 14.0356 | 24.6683 | 25.1958 |
| 0.6471 | 3.0 | 750 | 0.8961 | 34.2527 | 14.2278 | 24.7229 | 25.3930 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2