metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma-2b-it-laacks
results: []
gemma-2b-it-laacks
This model is a fine-tuned version of google/gemma-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.0521
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1593 | 0.2908 | 100 | 2.9485 |
| 2.5908 | 0.5816 | 200 | 2.4415 |
| 2.3649 | 0.8724 | 300 | 2.3041 |
| 2.2468 | 1.1632 | 400 | 2.2207 |
| 2.1819 | 1.4540 | 500 | 2.1656 |
| 2.1336 | 1.7448 | 600 | 2.1341 |
| 2.1159 | 2.0356 | 700 | 2.1147 |
| 2.0967 | 2.3264 | 800 | 2.1016 |
| 2.0911 | 2.6172 | 900 | 2.0917 |
| 2.0663 | 2.9080 | 1000 | 2.0843 |
| 2.057 | 3.1988 | 1100 | 2.0781 |
| 2.0521 | 3.4896 | 1200 | 2.0732 |
| 2.0585 | 3.7804 | 1300 | 2.0691 |
| 2.0546 | 4.0712 | 1400 | 2.0659 |
| 2.048 | 4.3621 | 1500 | 2.0629 |
| 2.0428 | 4.6529 | 1600 | 2.0606 |
| 2.0339 | 4.9437 | 1700 | 2.0587 |
| 2.0295 | 5.2345 | 1800 | 2.0572 |
| 2.037 | 5.5253 | 1900 | 2.0558 |
| 2.0279 | 5.8161 | 2000 | 2.0545 |
| 2.0322 | 6.1069 | 2100 | 2.0535 |
| 2.0344 | 6.3977 | 2200 | 2.0528 |
| 2.0197 | 6.6885 | 2300 | 2.0525 |
| 2.0332 | 6.9793 | 2400 | 2.0521 |
| 2.0242 | 7.2701 | 2500 | 2.0521 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.19.0
- Tokenizers 0.19.1