metadata
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: long_t5
results: []
long_t5
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: 1.5355
- Rouge1: 0.4922
- Rouge2: 0.3075
- Rougel: 0.448
- Rougelsum: 0.4476
- Gen Len: 25.2419
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.16 | 1.0 | 3200 | 1.6302 | 0.4745 | 0.2896 | 0.4315 | 0.4311 | 25.1044 |
| 1.9936 | 2.0 | 6400 | 1.5803 | 0.4888 | 0.3046 | 0.4468 | 0.4463 | 25.2094 |
| 1.8414 | 3.0 | 9600 | 1.5484 | 0.4905 | 0.3048 | 0.446 | 0.4455 | 25.695 |
| 1.8103 | 4.0 | 12800 | 1.5363 | 0.4903 | 0.3058 | 0.4464 | 0.4465 | 24.9725 |
| 1.7387 | 5.0 | 16000 | 1.5355 | 0.4922 | 0.3075 | 0.448 | 0.4476 | 25.2419 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1