---
license: mit
tags:
- generated_from_trainer
base_model: jinunyachhyon/MobileLLM_Finetune_onDialogueDataset
model-index:
- name: MobileLLM_Finetune_onDialogueDataset_32k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MobileLLM_Finetune_onDialogueDataset_32k

This model is a fine-tuned version of [jinunyachhyon/MobileLLM_Finetune_onDialogueDataset](https://huggingface.co/jinunyachhyon/MobileLLM_Finetune_onDialogueDataset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0771

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0747        | 1.0   | 7355  | 0.0775          |
| 0.0741        | 2.0   | 14710 | 0.0776          |
| 0.0706        | 3.0   | 22065 | 0.0775          |
| 0.0726        | 4.0   | 29420 | 0.0770          |
| 0.0713        | 5.0   | 36775 | 0.0771          |


### Framework versions

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