---
library_name: transformers
license: apache-2.0
base_model: utter-project/EuroLLM-1.7B-Instruct
tags:
- generated_from_trainer
model-index:
- name: rauma-gpt-1.7B-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. -->

# rauma-gpt-1.7B-Instruct

This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1424

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9481        | 1.0   | 808  | 3.0060          |
| 1.994         | 2.0   | 1616 | 2.3556          |
| 1.1262        | 3.0   | 2424 | 2.1424          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1