---
library_name: peft
license: mit
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi_1.5_mfr_instruct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi_1.5_mfr_instruct

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4011

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.31          | 50.0  | 250  | 1.2487          |
| 0.5629        | 100.0 | 500  | 0.4522          |
| 0.2176        | 150.0 | 750  | 0.4012          |
| 0.1899        | 200.0 | 1000 | 0.3989          |
| 0.1832        | 250.0 | 1250 | 0.3996          |
| 0.1801        | 300.0 | 1500 | 0.4006          |
| 0.1788        | 350.0 | 1750 | 0.4011          |
| 0.1784        | 400.0 | 2000 | 0.4011          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0