---
license: gemma
base_model: google/gemma-2-2b-it
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: 20240818_gemma-2-2b-it_full-anonymous-617_dpo-sft_BFI
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 20240818_gemma-2-2b-it_full-anonymous-617_dpo-sft_BFI

This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the BFI-anonymous-617_dpo_no-system_sharegpt_105 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8025
- Rewards/chosen: 8.8006
- Rewards/rejected: 3.5406
- Rewards/accuracies: 0.9247
- Rewards/margins: 5.2600
- Logps/rejected: -78.8782
- Logps/chosen: -118.9999
- Logits/rejected: -4.3666
- Logits/chosen: -4.5476

## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2.1444        | 0.4365 | 500  | 2.1669          | 6.0677         | 3.1466           | 0.9032             | 2.9211          | -82.8180       | -146.3293    | 0.2298          | 0.0904        |
| 1.9865        | 0.8731 | 1000 | 2.0409          | 6.5585         | 2.8550           | 0.8710             | 3.7036          | -85.7341       | -141.4206    | 1.2474          | 1.0619        |
| 1.4582        | 1.3096 | 1500 | 1.8728          | 8.1097         | 3.6131           | 0.9247             | 4.4967          | -78.1532       | -125.9085    | -0.5647         | -0.7531       |
| 1.4326        | 1.7462 | 2000 | 1.7866          | 8.5668         | 3.5837           | 0.9247             | 4.9831          | -78.4469       | -121.3381    | -1.9024         | -2.0860       |
| 1.0857        | 2.1827 | 2500 | 1.8025          | 8.6210         | 3.5507           | 0.9247             | 5.0704          | -78.7771       | -120.7956    | -3.4905         | -3.6840       |
| 1.0376        | 2.6192 | 3000 | 1.8047          | 8.7683         | 3.5103           | 0.9247             | 5.2580          | -79.1805       | -119.3225    | -4.2916         | -4.4732       |


### Framework versions

- Transformers 4.43.1
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.20.0
- Tokenizers 0.19.1