metadata
library_name: transformers
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_dailymail_model
results: []
my_awesome_dailymail_model
This model is a fine-tuned version of google/long-t5-tglobal-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7605
- Rouge1: 0.2044
- Rouge2: 0.1072
- Rougel: 0.1751
- Rougelsum: 0.1748
- Gen Len: 19.0
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: 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 1.8435 | 0.1904 | 0.0914 | 0.1603 | 0.1602 | 19.0 |
| No log | 2.0 | 248 | 1.7953 | 0.2033 | 0.1046 | 0.1733 | 0.1732 | 19.0 |
| No log | 3.0 | 372 | 1.7681 | 0.2042 | 0.1061 | 0.1753 | 0.175 | 19.0 |
| No log | 4.0 | 496 | 1.7605 | 0.2044 | 0.1072 | 0.1751 | 0.1748 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1