metadata
license: apache-2.0
base_model: veerganesh/nvl
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nvl-ca
results: []
nvl-ca
This model is a fine-tuned version of veerganesh/nvl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6535
- Rouge1: 36.3061
- Rouge2: 19.2836
- Rougel: 32.5026
- Rougelsum: 34.0495
- Gen Len: 17.64
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4992 | 1.0 | 50 | 1.9758 | 33.2875 | 14.2313 | 28.8961 | 30.5569 | 17.38 |
| 2.1986 | 2.0 | 100 | 1.8501 | 33.5585 | 14.5244 | 29.1677 | 31.0933 | 17.74 |
| 2.074 | 3.0 | 150 | 1.7800 | 33.6105 | 15.9338 | 29.4441 | 31.2427 | 17.54 |
| 1.9801 | 4.0 | 200 | 1.7342 | 34.2445 | 16.941 | 29.5403 | 30.7901 | 17.62 |
| 1.9218 | 5.0 | 250 | 1.7061 | 35.1758 | 17.5234 | 30.3357 | 31.8524 | 17.68 |
| 1.8753 | 6.0 | 300 | 1.6854 | 34.6322 | 18.0581 | 30.5876 | 31.8437 | 17.8 |
| 1.8458 | 7.0 | 350 | 1.6705 | 35.8005 | 19.1994 | 31.9266 | 33.3519 | 17.64 |
| 1.8227 | 8.0 | 400 | 1.6586 | 36.5165 | 19.4833 | 32.5553 | 34.0398 | 17.56 |
| 1.8097 | 9.0 | 450 | 1.6550 | 36.2766 | 19.268 | 32.4987 | 34.0117 | 17.64 |
| 1.7891 | 10.0 | 500 | 1.6535 | 36.3061 | 19.2836 | 32.5026 | 34.0495 | 17.64 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0