metadata
license: apache-2.0
base_model: abdulllah01/checkpoints
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: checkpoints
results: []
checkpoints
This model is a fine-tuned version of abdulllah01/checkpoints on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1584
- Rouge1: 43.67
- Rouge2: 40.8513
- Rougel: 43.2481
- Rougelsum: 43.2972
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: 5.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.2064 | 1.0 | 150 | 0.1584 | 43.67 | 40.8513 | 43.2481 | 43.2972 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1