---
base_model: microsoft/Phi-3-mini-4k-instruct
library_name: peft
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
inference:
  parameters:
    temperature: 0.0
---

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

This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0939

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0751        | 0.9956 | 112  | 1.0510          |
| 0.8778        | 2.0    | 225  | 1.0214          |
| 0.7249        | 2.9956 | 337  | 1.0544          |
| 0.6308        | 3.9822 | 448  | 1.0939          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.40.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1