metadata
library_name: transformers
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-reddit_tifu-rouge-3-loss-differentiable-100-cnt-supervised
results: []
bart-large-reddit_tifu-rouge-3-loss-differentiable-100-cnt-supervised
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2227
- Rouge1: 0.2709
- Rouge2: 0.0801
- Rougel: 0.2095
- Rougelsum: 0.2094
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.0348 | 0.8 | 20 | 3.2038 | 0.1599 | 0.0287 | 0.1106 | 0.1106 |
| 3.1204 | 1.6 | 40 | 2.8897 | 0.2148 | 0.059 | 0.1674 | 0.1675 |
| 2.7132 | 2.4 | 60 | 2.8857 | 0.2646 | 0.0812 | 0.2047 | 0.2045 |
| 2.5367 | 3.2 | 80 | 2.8879 | 0.2505 | 0.0741 | 0.1974 | 0.1974 |
| 2.1373 | 4.0 | 100 | 3.2227 | 0.2709 | 0.0801 | 0.2095 | 0.2094 |
| 1.9878 | 4.8 | 120 | 3.1669 | 0.2582 | 0.0737 | 0.1972 | 0.1973 |
| 1.6781 | 5.6 | 140 | 3.2703 | 0.2467 | 0.0696 | 0.1962 | 0.1963 |
| 1.2597 | 6.4 | 160 | 3.2969 | 0.2261 | 0.0544 | 0.1792 | 0.1792 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1