metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b-it
model-index:
- name: spider-gemma7b-it
results: []
spider-gemma7b-it
This model is a fine-tuned version of google/gemma-7b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1600
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4778 | 0.16 | 100 | 0.4999 |
| 0.2964 | 0.33 | 200 | 0.3364 |
| 0.2383 | 0.49 | 300 | 0.2924 |
| 0.2077 | 0.65 | 400 | 0.2551 |
| 0.1909 | 0.82 | 500 | 0.2283 |
| 0.1831 | 0.98 | 600 | 0.2188 |
| 0.1595 | 1.14 | 700 | 0.1855 |
| 0.1566 | 1.31 | 800 | 0.1779 |
| 0.1581 | 1.47 | 900 | 0.1706 |
| 0.1507 | 1.63 | 1000 | 0.1679 |
| 0.1515 | 1.8 | 1100 | 0.1689 |
| 0.1514 | 1.96 | 1200 | 0.1600 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2