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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-2_180-samples_config-2_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-2_180-samples_config-2_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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0305
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.3006 | 0.9412 | 8 | 1.2976 |
| 1.2057 | 2.0 | 17 | 1.1583 |
| 1.1024 | 2.9412 | 25 | 1.0637 |
| 0.9139 | 4.0 | 34 | 0.9544 |
| 0.8515 | 4.9412 | 42 | 0.9081 |
| 0.863 | 6.0 | 51 | 0.8835 |
| 0.8439 | 6.9412 | 59 | 0.8703 |
| 0.7927 | 8.0 | 68 | 0.8620 |
| 0.7343 | 8.9412 | 76 | 0.8584 |
| 0.7243 | 10.0 | 85 | 0.8591 |
| 0.6957 | 10.9412 | 93 | 0.8661 |
| 0.6372 | 12.0 | 102 | 0.8781 |
| 0.6342 | 12.9412 | 110 | 0.8993 |
| 0.6126 | 14.0 | 119 | 0.9278 |
| 0.5304 | 14.9412 | 127 | 0.9825 |
| 0.4754 | 16.0 | 136 | 1.0305 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |