metadata
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize_model_2
results: []
summarize_model_2
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9198
- Rouge1: 0.2393
- Rouge2: 0.1023
- Rougel: 0.1976
- Rougelsum: 0.2243
- Gen Len: 20.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.9729 | 0.2374 | 0.099 | 0.1962 | 0.2216 | 20.0 |
| No log | 2.0 | 200 | 1.9565 | 0.2398 | 0.1018 | 0.1972 | 0.2238 | 20.0 |
| No log | 3.0 | 300 | 1.9241 | 0.2377 | 0.0991 | 0.1959 | 0.2215 | 20.0 |
| No log | 4.0 | 400 | 1.9198 | 0.2393 | 0.1023 | 0.1976 | 0.2243 | 20.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3