metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-2_auto
- GaetanMichelet/chat-120_ft_task-2_auto
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-2_120-samples_config-1_auto
results: []
Gemma-2-2B_task-2_120-samples_config-1_auto
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.6440
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: 8
- total_train_batch_size: 8
- 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 |
|---|---|---|---|
| 0.9373 | 1.0 | 11 | 0.9925 |
| 0.7244 | 2.0 | 22 | 0.8189 |
| 0.6269 | 3.0 | 33 | 0.7204 |
| 0.588 | 4.0 | 44 | 0.6696 |
| 0.526 | 5.0 | 55 | 0.6440 |
| 0.4669 | 6.0 | 66 | 0.6452 |
| 0.3682 | 7.0 | 77 | 0.7009 |
| 0.2714 | 8.0 | 88 | 0.8050 |
| 0.1657 | 9.0 | 99 | 1.0494 |
| 0.076 | 10.0 | 110 | 1.1584 |
| 0.0507 | 11.0 | 121 | 1.3445 |
| 0.0346 | 12.0 | 132 | 1.3441 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1