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---
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-3_60-samples_config-1_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_60-samples_config-1_auto
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8173
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 3.0596 | 0.8696 | 5 | 2.9978 |
| 2.455 | 1.9130 | 11 | 1.6209 |
| 1.032 | 2.9565 | 17 | 0.7399 |
| 0.4025 | 4.0 | 23 | 0.4877 |
| 0.2824 | 4.8696 | 28 | 0.4448 |
| 0.2665 | 5.9130 | 34 | 0.4216 |
| 0.209 | 6.9565 | 40 | 0.4002 |
| 0.2776 | 8.0 | 46 | 0.3994 |
| 0.1608 | 8.8696 | 51 | 0.4351 |
| 0.1258 | 9.9130 | 57 | 0.5196 |
| 0.0748 | 10.9565 | 63 | 0.6227 |
| 0.0581 | 12.0 | 69 | 0.7061 |
| 0.0281 | 12.8696 | 74 | 0.7658 |
| 0.0178 | 13.9130 | 80 | 0.7745 |
| 0.006 | 14.9565 | 86 | 0.8173 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |