metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google-t5/t5-large
model-index:
- name: my_fine_tuning_summary_t5_large_IA_model_hf
results: []
my_fine_tuning_summary_t5_large_IA_model_hf
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: nan
- Rouge1: 0.1345
- Rouge2: 0.0519
- Rougel: 0.1119
- Rougelsum: 0.112
- 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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 989 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
| 0.0 | 2.0 | 1978 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
| 0.0 | 3.0 | 2967 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
| 0.0 | 4.0 | 3956 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.2