metadata
library_name: peft
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: training_checkpoints
results: []
training_checkpoints
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3638
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.818 | 1.0 | 6278 | 3.5073 |
| 3.5666 | 2.0 | 12556 | 3.4281 |
| 3.6054 | 3.0 | 18834 | 3.3929 |
| 3.5081 | 4.0 | 25112 | 3.3720 |
| 3.5558 | 5.0 | 31390 | 3.3638 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0