metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-1_auto
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-1_60-samples_config-2_full_auto
results: []
Gemma-2-2B_task-1_60-samples_config-2_full_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1_auto dataset. It achieves the following results on the evaluation set:
- Loss: 0.9476
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 |
|---|---|---|---|
| 2.3291 | 0.6957 | 2 | 2.2148 |
| 2.3149 | 1.7391 | 5 | 2.1203 |
| 2.0527 | 2.7826 | 8 | 1.7995 |
| 1.8287 | 3.8261 | 11 | 1.4930 |
| 1.4013 | 4.8696 | 14 | 1.3096 |
| 1.2792 | 5.9130 | 17 | 1.1454 |
| 1.0352 | 6.9565 | 20 | 1.0580 |
| 0.9755 | 8.0 | 23 | 1.0166 |
| 0.9229 | 8.6957 | 25 | 0.9997 |
| 0.8475 | 9.7391 | 28 | 0.9786 |
| 0.8219 | 10.7826 | 31 | 0.9607 |
| 0.7598 | 11.8261 | 34 | 0.9497 |
| 0.7358 | 12.8696 | 37 | 0.9476 |
| 0.6627 | 13.9130 | 40 | 0.9562 |
| 0.6456 | 14.9565 | 43 | 0.9710 |
| 0.5933 | 16.0 | 46 | 0.9923 |
| 0.5504 | 16.6957 | 48 | 1.0152 |
| 0.5298 | 17.7391 | 51 | 1.0546 |
| 0.4504 | 18.7826 | 54 | 1.1058 |
| 0.4508 | 19.8261 | 57 | 1.1510 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1