metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: slue_ted_finetuned-t5
results: []
slue_ted_finetuned-t5
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2805
- Rouge1: 0.3147
- Rouge2: 0.0968
- Rougel: 0.201
- Rougelsum: 0.2016
- Gen Len: 119.0753
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.592 | 1.1820 | 500 | 2.4583 | 0.2701 | 0.0719 | 0.1737 | 0.1743 | 113.1553 |
| 2.3779 | 2.3641 | 1000 | 2.3333 | 0.2931 | 0.0842 | 0.1834 | 0.1841 | 115.8424 |
| 2.2448 | 3.5461 | 1500 | 2.2892 | 0.3066 | 0.094 | 0.1967 | 0.1974 | 116.1176 |
| 2.157 | 4.7281 | 2000 | 2.2775 | 0.3084 | 0.0912 | 0.1957 | 0.1962 | 116.56 |
| 2.0414 | 5.9102 | 2500 | 2.2805 | 0.3147 | 0.0968 | 0.201 | 0.2016 | 119.0753 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1