metadata
library_name: peft
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: Summarization_Continue
results: []
Summarization_Continue
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0784
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.103 | 0.2229 | 500 | 1.0905 |
| 1.0955 | 0.4458 | 1000 | 1.0865 |
| 1.0835 | 0.6687 | 1500 | 1.0834 |
| 1.0841 | 0.8916 | 2000 | 1.0814 |
| 1.0803 | 1.1141 | 2500 | 1.0802 |
| 1.0812 | 1.3370 | 3000 | 1.0788 |
| 1.0816 | 1.5599 | 3500 | 1.0781 |
| 1.0827 | 1.7828 | 4000 | 1.0784 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0