---
base_model: nagrajn/TinyLinuxDSLM81M_EXTFULL
tags:
- generated_from_trainer
model-index:
- name: TinyLinuxDSLM81M_EXTFULL_Instruct
  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. -->

# TinyLinuxDSLM81M_EXTFULL_Instruct

This model is a fine-tuned version of [nagrajn/TinyLinuxDSLM81M_EXTFULL](https://huggingface.co/nagrajn/TinyLinuxDSLM81M_EXTFULL) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5143

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9194        | 0.9991 | 843  | 0.8285          |
| 0.7235        | 1.9994 | 1687 | 0.5914          |
| 0.6104        | 2.9973 | 2529 | 0.5143          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1