|
--- |
|
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-1_full_auto |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Gemma-2-2B_task-3_120-samples_config-1_full_auto |
|
|
|
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/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: 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.3429 | 1.0 | 11 | 1.3559 | |
|
| 1.1584 | 2.0 | 22 | 1.2112 | |
|
| 1.0941 | 3.0 | 33 | 1.0876 | |
|
| 1.0134 | 4.0 | 44 | 0.9891 | |
|
| 0.9378 | 5.0 | 55 | 0.9541 | |
|
| 0.8949 | 6.0 | 66 | 0.9392 | |
|
| 0.8546 | 7.0 | 77 | 0.9359 | |
|
| 0.822 | 8.0 | 88 | 0.9411 | |
|
| 0.7437 | 9.0 | 99 | 0.9580 | |
|
| 0.6443 | 10.0 | 110 | 1.0089 | |
|
| 0.6397 | 11.0 | 121 | 1.0663 | |
|
| 0.5092 | 12.0 | 132 | 1.1413 | |
|
| 0.5121 | 13.0 | 143 | 1.2276 | |
|
| 0.3324 | 14.0 | 154 | 1.3167 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
