metadata
library_name: peft
license: apache-2.0
base_model: google/roberta2roberta_L-24_cnn_daily_mail
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/roberta2roberta_L-24_cnn_daily_mail on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.7395
- Rouge1: 33.11
- Rouge2: 20.39
- Rougel: 27.32
- Rougelsum: 27.42
- Bertscore P: 87.57
- Bertscore R: 83.35
- Bertscore F1: 85.27
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bertscore P | Bertscore R | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 36.5558 | 0.8 | 20 | 7.8969 | 32.35 | 20.37 | 27.74 | 27.82 | 87.74 | 83.51 | 85.43 |
| 32.2661 | 1.6 | 40 | 7.0747 | 34.94 | 21.86 | 29.83 | 30.04 | 87.7 | 83.93 | 85.62 |
| 30.3129 | 2.4 | 60 | 6.7395 | 33.11 | 20.39 | 27.32 | 27.42 | 87.57 | 83.35 | 85.27 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0