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---
library_name: transformers
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857
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. -->
# sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2499
## 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: 1.41e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3539 | 0.3350 | 20 | 1.3197 |
| 1.3073 | 0.6700 | 40 | 1.2901 |
| 1.307 | 1.0050 | 60 | 1.2739 |
| 1.2327 | 1.3400 | 80 | 1.2642 |
| 1.2515 | 1.6750 | 100 | 1.2567 |
| 1.2139 | 2.0099 | 120 | 1.2523 |
| 1.2023 | 2.3449 | 140 | 1.2509 |
| 1.2031 | 2.6799 | 160 | 1.2499 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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