---
license: other
base_model: microsoft/phi-1_5
tags:
- trl
- sft
- generated_from_trainer
datasets:
- allenai/scitldr
model-index:
- name: uplimit-project-3-phi-1.5
  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. -->

# uplimit-project-3-phi-1.5

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the scitldr dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5346

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5481        | 0.1   | 200  | 2.5944          |
| 2.5902        | 0.2   | 400  | 2.5815          |
| 2.5678        | 0.3   | 600  | 2.5835          |
| 2.5024        | 0.4   | 800  | 2.5694          |
| 2.5499        | 0.5   | 1000 | 2.5601          |
| 2.5346        | 0.6   | 1200 | 2.5536          |
| 2.5831        | 0.7   | 1400 | 2.5461          |
| 2.5088        | 0.8   | 1600 | 2.5381          |
| 2.5565        | 0.9   | 1800 | 2.5346          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0