---
base_model: stabilityai/stablelm-zephyr-3b
datasets:
- erbacher/rag-and-roll-hagrid
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-hagrid-rag-agent-3b
  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. -->

# zephyr-hagrid-rag-agent-3b

This model is a fine-tuned version of [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b) on the erbacher/rag-and-roll-hagrid dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3059

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3937        | 1.0   | 120  | 1.3209          |
| 1.2055        | 2.0   | 240  | 1.3002          |
| 1.2217        | 2.99  | 360  | 1.2983          |
| 1.1003        | 4.0   | 481  | 1.3038          |
| 1.2236        | 4.99  | 600  | 1.3059          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.15.2