---
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_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_60-samples_config-1_full_auto
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Gemma-2-2B_task-2_60-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-2_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8903

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.2771        | 0.8696  | 5    | 1.3014          |
| 1.2877        | 1.9130  | 11   | 1.2201          |
| 1.1635        | 2.9565  | 17   | 1.1144          |
| 1.0236        | 4.0     | 23   | 1.0385          |
| 0.9255        | 4.8696  | 28   | 0.9711          |
| 0.8522        | 5.9130  | 34   | 0.9287          |
| 0.7873        | 6.9565  | 40   | 0.9061          |
| 0.7746        | 8.0     | 46   | 0.8943          |
| 0.7645        | 8.8696  | 51   | 0.8906          |
| 0.7497        | 9.9130  | 57   | 0.8903          |
| 0.677         | 10.9565 | 63   | 0.8981          |
| 0.6337        | 12.0    | 69   | 0.9132          |
| 0.637         | 12.8696 | 74   | 0.9355          |
| 0.5524        | 13.9130 | 80   | 0.9835          |
| 0.5137        | 14.9565 | 86   | 1.0106          |
| 0.5166        | 16.0    | 92   | 1.0932          |
| 0.3388        | 16.8696 | 97   | 1.1325          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1