---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
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-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4364

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8501        | 1.0   | 3    | 2.2605          |
| 2.1387        | 2.0   | 6    | 1.7344          |
| 1.5826        | 3.0   | 9    | 1.3666          |
| 1.2187        | 4.0   | 12   | 1.0485          |
| 0.8879        | 5.0   | 15   | 0.7558          |
| 0.6134        | 6.0   | 18   | 0.5396          |
| 0.4343        | 7.0   | 21   | 0.4304          |
| 0.3557        | 8.0   | 24   | 0.3943          |
| 0.3205        | 9.0   | 27   | 0.3689          |
| 0.2947        | 10.0  | 30   | 0.3580          |
| 0.2727        | 11.0  | 33   | 0.3371          |
| 0.2506        | 12.0  | 36   | 0.3361          |
| 0.2291        | 13.0  | 39   | 0.3342          |
| 0.2098        | 14.0  | 42   | 0.3332          |
| 0.1911        | 15.0  | 45   | 0.3446          |
| 0.1761        | 16.0  | 48   | 0.3334          |
| 0.159         | 17.0  | 51   | 0.3453          |
| 0.1399        | 18.0  | 54   | 0.3540          |
| 0.124         | 19.0  | 57   | 0.3631          |
| 0.1123        | 20.0  | 60   | 0.3636          |
| 0.0992        | 21.0  | 63   | 0.3778          |
| 0.0862        | 22.0  | 66   | 0.3862          |
| 0.0783        | 23.0  | 69   | 0.3966          |
| 0.0704        | 24.0  | 72   | 0.4072          |
| 0.0627        | 25.0  | 75   | 0.4178          |
| 0.0582        | 26.0  | 78   | 0.4200          |
| 0.0553        | 27.0  | 81   | 0.4283          |
| 0.0521        | 28.0  | 84   | 0.4338          |
| 0.0505        | 29.0  | 87   | 0.4366          |
| 0.0494        | 30.0  | 90   | 0.4364          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2