---
license: llama3
base_model: AI-Sweden-Models/Llama-3-8B-instruct
tags:
- generated_from_trainer
metrics:
- accuracy
library_name: peft
model-index:
- name: llm2vec-da-mntp
  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. -->

# llm2vec-da-mntp

This model is a fine-tuned version of [AI-Sweden-Models/Llama-3-8B-instruct](https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.3302
- Accuracy: 0.1023

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.0005 | 2    | 6.9074          | 0.0706   |
| No log        | 0.0010 | 4    | 6.3302          | 0.1023   |


### Framework versions

- PEFT 0.13.2
- Transformers 4.40.2
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1