metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
- GaetanMichelet/chat-120_ft_task-3_auto
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-3_120-samples_config-2_full_auto
results: []
Gemma-2-2B_task-3_120-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-3_auto and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.9359
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 |
|---|---|---|---|
| 1.4057 | 0.9091 | 5 | 1.3750 |
| 1.3708 | 2.0 | 11 | 1.2889 |
| 1.2158 | 2.9091 | 16 | 1.1944 |
| 1.1179 | 4.0 | 22 | 1.1044 |
| 1.0198 | 4.9091 | 27 | 1.0251 |
| 0.9467 | 6.0 | 33 | 0.9804 |
| 0.9148 | 6.9091 | 38 | 0.9615 |
| 0.8909 | 8.0 | 44 | 0.9481 |
| 0.8645 | 8.9091 | 49 | 0.9407 |
| 0.867 | 10.0 | 55 | 0.9363 |
| 0.8193 | 10.9091 | 60 | 0.9359 |
| 0.7911 | 12.0 | 66 | 0.9404 |
| 0.7557 | 12.9091 | 71 | 0.9464 |
| 0.7439 | 14.0 | 77 | 0.9614 |
| 0.6475 | 14.9091 | 82 | 0.9828 |
| 0.6577 | 16.0 | 88 | 1.0100 |
| 0.5958 | 16.9091 | 93 | 1.0415 |
| 0.5391 | 18.0 | 99 | 1.0821 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1