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---
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-2
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-2_60-samples_config-2
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-2_60-samples_config-2
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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0008 | 0.6957 | 2 | 1.0610 |
| 0.9848 | 1.7391 | 5 | 1.0090 |
| 0.8909 | 2.7826 | 8 | 0.8771 |
| 0.7601 | 3.8261 | 11 | 0.8055 |
| 0.7251 | 4.8696 | 14 | 0.7676 |
| 0.6518 | 5.9130 | 17 | 0.7352 |
| 0.6256 | 6.9565 | 20 | 0.7191 |
| 0.5985 | 8.0 | 23 | 0.7080 |
| 0.5809 | 8.6957 | 25 | 0.7035 |
| 0.5221 | 9.7391 | 28 | 0.6958 |
| 0.5052 | 10.7826 | 31 | 0.6939 |
| 0.4727 | 11.8261 | 34 | 0.6932 |
| 0.4384 | 12.8696 | 37 | 0.6968 |
| 0.4074 | 13.9130 | 40 | 0.7064 |
| 0.3396 | 14.9565 | 43 | 0.7210 |
| 0.3296 | 16.0 | 46 | 0.7495 |
| 0.2865 | 16.6957 | 48 | 0.7752 |
| 0.2732 | 17.7391 | 51 | 0.8188 |
| 0.2207 | 18.7826 | 54 | 0.8808 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |