transformers pytorch tensorboard phi text-generation trl sft generated_from_trainer custom_code base_model:microsoft/phi-2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: microsoft/phi-2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: model2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# model2

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.

## 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- gradient_accumulation_steps: 128
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1
