metadata
library_name: transformers
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: model
results: []
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: 1.9329
- Rouge: 0.1619
- Meteor: 0.1091
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: 0.00021414319413263157
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 3
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge | Meteor |
|---|---|---|---|---|---|
| 8.9561 | 0.1 | 25 | 2.1054 | 0.1332 | 0.0870 |
| 8.0871 | 0.2 | 50 | 2.0333 | 0.1512 | 0.0986 |
| 7.8116 | 0.3 | 75 | 2.0106 | 0.1457 | 0.0949 |
| 7.1444 | 0.4 | 100 | 1.9853 | 0.1500 | 0.0989 |
| 7.333 | 0.5 | 125 | 1.9705 | 0.1561 | 0.1057 |
| 6.8319 | 0.6 | 150 | 1.9586 | 0.1596 | 0.1088 |
| 7.2472 | 0.7 | 175 | 1.9541 | 0.1607 | 0.1078 |
| 7.7008 | 0.8 | 200 | 1.9407 | 0.1592 | 0.1083 |
| 7.3862 | 0.9 | 225 | 1.9361 | 0.1620 | 0.1096 |
| 6.6446 | 1.0 | 250 | 1.9329 | 0.1619 | 0.1091 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1