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---
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
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