---
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Phi-3-mini-4k-instruct-finetuned
  results: []
---

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# Phi-3-mini-4k-instruct-finetuned

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0153

## 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: 2
- eval_batch_size: 2
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2