metadata
library_name: peft
license: apache-2.0
base_model: google/byt5-base
tags:
- base_model:adapter:google/byt5-base
- lora
- transformers
model-index:
- name: byt5-base-bdd-expansion-lora-v2
results: []
byt5-base-bdd-expansion-lora-v2
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0313
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2915 | 1.0 | 971 | 0.1431 |
| 0.1664 | 2.0 | 1942 | 0.0804 |
| 0.0931 | 3.0 | 2913 | 0.0365 |
| 0.0768 | 4.0 | 3884 | 0.0319 |
| 0.076 | 5.0 | 4855 | 0.0313 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2