metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_sixth_model
results: []
my_awesome_sixth_model
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8857
- Rouge1: 0.308
- Rouge2: 0.1151
- Rougel: 0.2066
- Rougelsum: 0.2065
- Gen Len: 79.1051
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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 171 | 1.9174 | 0.3094 | 0.1207 | 0.2099 | 0.2101 | 75.6192 |
| No log | 2.0 | 343 | 1.8893 | 0.3036 | 0.1127 | 0.2046 | 0.2041 | 79.1308 |
| 1.8737 | 2.99 | 513 | 1.8857 | 0.308 | 0.1151 | 0.2066 | 0.2065 | 79.1051 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2