metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-1_180-samples_config-2_full
results: []
Gemma-2-2B_task-1_180-samples_config-2_full
This model is a fine-tuned version of google/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9126
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5025 | 0.9412 | 8 | 2.4361 |
| 2.0775 | 2.0 | 17 | 1.9082 |
| 1.63 | 2.9412 | 25 | 1.4719 |
| 1.1623 | 4.0 | 34 | 1.1816 |
| 1.0588 | 4.9412 | 42 | 1.0970 |
| 1.0217 | 6.0 | 51 | 1.0481 |
| 0.914 | 6.9412 | 59 | 1.0288 |
| 0.8449 | 8.0 | 68 | 1.0226 |
| 0.7558 | 8.9412 | 76 | 1.0447 |
| 0.6646 | 10.0 | 85 | 1.0844 |
| 0.5742 | 10.9412 | 93 | 1.1509 |
| 0.3766 | 12.0 | 102 | 1.3010 |
| 0.3088 | 12.9412 | 110 | 1.5293 |
| 0.2417 | 14.0 | 119 | 1.7321 |
| 0.1632 | 14.9412 | 127 | 1.9126 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1