---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: arphiv
  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. -->

# arphiv

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: 1.9806

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9802        | 0.1   | 200  | 2.0909          |
| 1.9764        | 0.2   | 400  | 2.0620          |
| 1.9247        | 0.3   | 600  | 2.0534          |
| 2.0485        | 0.4   | 800  | 2.0619          |
| 1.9351        | 0.5   | 1000 | 2.0143          |
| 1.9793        | 0.6   | 1200 | 2.0255          |
| 1.9704        | 0.7   | 1400 | 2.0190          |
| 1.9144        | 0.8   | 1600 | 1.9922          |
| 2.0139        | 0.9   | 1800 | 2.0024          |
| 1.9789        | 1.0   | 2000 | 1.9845          |
| 1.622         | 1.1   | 2200 | 2.0068          |
| 1.6057        | 1.2   | 2400 | 2.0123          |
| 1.6747        | 1.31  | 2600 | 1.9998          |
| 1.5369        | 1.41  | 2800 | 2.0055          |
| 1.5566        | 1.51  | 3000 | 2.0138          |
| 1.3799        | 1.61  | 3200 | 1.9924          |
| 1.5956        | 1.71  | 3400 | 1.9849          |
| 1.3932        | 1.81  | 3600 | 1.9926          |
| 1.4757        | 1.91  | 3800 | 1.9806          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1