---
license: mit
base_model: microsoft/phi-2
tags:
- trl
- sft
- generated_from_trainer
datasets:
- arrow
model-index:
- name: fietje-2b
  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. -->

# fietje-2b

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4013

## 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: 9e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 3
- total_train_batch_size: 1920
- total_eval_batch_size: 640
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6334        | 0.13  | 900  | 1.5937          |
| 1.5469        | 0.26  | 1800 | 1.5051          |
| 1.4937        | 0.4   | 2700 | 1.4628          |
| 1.4633        | 0.53  | 3600 | 1.4375          |
| 1.4485        | 0.66  | 4500 | 1.4203          |
| 1.4374        | 0.79  | 5400 | 1.4085          |
| 1.4278        | 0.92  | 6300 | 1.4013          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2