led-finetuned-meetings
This model is a fine-tuned version of allenai/led-base-16384 on the knkarthick/AMI dataset. It achieves the following results on the evaluation set:
- Loss: 2.2191
- Rouge2 Precision: 0.141
- Rouge2 Recall: 0.1886
- Rouge2 Fmeasure: 0.1541
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 1.964 | 0.63 | 20 | 2.2191 | 0.141 | 0.1886 | 0.1541 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3