---
base_model: microsoft/phi-1_5
library_name: peft
license: mit
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: 1.4898

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4571        | 40.0  | 250  | 1.1032          |
| 0.2487        | 80.0  | 500  | 1.3577          |
| 0.1679        | 120.0 | 750  | 1.4287          |
| 0.1586        | 160.0 | 1000 | 1.4562          |
| 0.1544        | 200.0 | 1250 | 1.4729          |
| 0.1521        | 240.0 | 1500 | 1.4843          |
| 0.151         | 280.0 | 1750 | 1.4893          |
| 0.1504        | 320.0 | 2000 | 1.4898          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1