metadata
license: gemma
library_name: peft
tags:
- generated_from_trainer
base_model: google/gemma-2b-it
model-index:
- name: gemma-2b-it-retrained_network_corpus
results: []
gemma-2b-it-retrained_network_corpus
This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3035
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9983 | 1.0 | 28 | 2.3757 |
| 2.1934 | 2.0 | 56 | 2.3035 |
| 1.6321 | 3.0 | 84 | 2.4507 |
| 1.1753 | 4.0 | 112 | 2.6984 |
| 0.8011 | 5.0 | 140 | 2.9980 |
| 0.5162 | 6.0 | 168 | 3.2588 |
| 0.304 | 7.0 | 196 | 3.7305 |
| 0.1822 | 8.0 | 224 | 4.0858 |
| 0.1148 | 9.0 | 252 | 4.3105 |
| 0.0855 | 10.0 | 280 | 4.5450 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1