---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4965

## 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: 0.0002
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9692        | 0.95  | 5    | 3.7663          |
| 3.8826        | 1.9   | 10   | 3.6222          |
| 3.7248        | 2.86  | 15   | 3.4342          |
| 2.8804        | 4.0   | 21   | 3.1608          |
| 3.1948        | 4.95  | 26   | 2.8958          |
| 2.9136        | 5.9   | 31   | 2.6167          |
| 2.5989        | 6.86  | 36   | 2.2949          |
| 1.869         | 8.0   | 42   | 1.8694          |
| 1.8586        | 8.95  | 47   | 1.5201          |
| 1.5399        | 9.9   | 52   | 1.2544          |
| 1.3188        | 10.86 | 57   | 1.1105          |
| 0.9827        | 12.0  | 63   | 0.9700          |
| 1.0818        | 12.95 | 68   | 0.8830          |
| 0.9514        | 13.9  | 73   | 0.8180          |
| 0.903         | 14.86 | 78   | 0.7661          |
| 0.6992        | 16.0  | 84   | 0.7211          |
| 0.7744        | 16.95 | 89   | 0.6985          |
| 0.7585        | 17.9  | 94   | 0.6771          |
| 0.7381        | 18.86 | 99   | 0.6627          |
| 0.5829        | 20.0  | 105  | 0.6441          |
| 0.6846        | 20.95 | 110  | 0.6344          |
| 0.6616        | 21.9  | 115  | 0.6242          |
| 0.622         | 22.86 | 120  | 0.6125          |
| 0.512         | 24.0  | 126  | 0.6008          |
| 0.5945        | 24.95 | 131  | 0.5926          |
| 0.5956        | 25.9  | 136  | 0.5843          |
| 0.5672        | 26.86 | 141  | 0.5782          |
| 0.4526        | 28.0  | 147  | 0.5681          |
| 0.5338        | 28.95 | 152  | 0.5603          |
| 0.5228        | 29.9  | 157  | 0.5548          |
| 0.5295        | 30.86 | 162  | 0.5474          |
| 0.4214        | 32.0  | 168  | 0.5435          |
| 0.4929        | 32.95 | 173  | 0.5363          |
| 0.4764        | 33.9  | 178  | 0.5330          |
| 0.4804        | 34.86 | 183  | 0.5274          |
| 0.3795        | 36.0  | 189  | 0.5230          |
| 0.4529        | 36.95 | 194  | 0.5176          |
| 0.4614        | 37.9  | 199  | 0.5139          |
| 0.4334        | 38.86 | 204  | 0.5110          |
| 0.3623        | 40.0  | 210  | 0.5072          |
| 0.4472        | 40.95 | 215  | 0.5059          |
| 0.4261        | 41.9  | 220  | 0.5024          |
| 0.4203        | 42.86 | 225  | 0.5017          |
| 0.3447        | 44.0  | 231  | 0.4982          |
| 0.4222        | 44.95 | 236  | 0.4977          |
| 0.4143        | 45.9  | 241  | 0.4970          |
| 0.4103        | 46.86 | 246  | 0.4966          |
| 0.3427        | 47.62 | 250  | 0.4965          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2