---
base_model: data/gemma-2b
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- argilla/dpo-mix-7k
model-index:
- name: zephyr-2b-gemma-dft-debug
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-2b-gemma-dft-debug

This model is a fine-tuned version of [data/gemma-2b](https://huggingface.co./data/gemma-2b) on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7648

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.8055        | 0.9982 | 270  | 5.7648          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1