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---
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-1
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-1_60-samples_config-2_full
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-1_60-samples_config-2_full
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-1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0277
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.6105 | 0.6957 | 2 | 2.4360 |
| 2.5655 | 1.7391 | 5 | 2.3295 |
| 2.2831 | 2.7826 | 8 | 1.9787 |
| 2.0137 | 3.8261 | 11 | 1.6425 |
| 1.5688 | 4.8696 | 14 | 1.4293 |
| 1.4129 | 5.9130 | 17 | 1.2381 |
| 1.1583 | 6.9565 | 20 | 1.1529 |
| 1.0951 | 8.0 | 23 | 1.1034 |
| 1.0201 | 8.6957 | 25 | 1.0816 |
| 0.9479 | 9.7391 | 28 | 1.0556 |
| 0.9142 | 10.7826 | 31 | 1.0383 |
| 0.8428 | 11.8261 | 34 | 1.0284 |
| 0.8092 | 12.8696 | 37 | 1.0277 |
| 0.7383 | 13.9130 | 40 | 1.0369 |
| 0.7168 | 14.9565 | 43 | 1.0502 |
| 0.6614 | 16.0 | 46 | 1.0692 |
| 0.6166 | 16.6957 | 48 | 1.0939 |
| 0.6045 | 17.7391 | 51 | 1.1363 |
| 0.5177 | 18.7826 | 54 | 1.1785 |
| 0.5067 | 19.8261 | 57 | 1.2188 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |