---
library_name: peft
license: llama3.3
base_model: meta-llama/Llama-3.3-70B-Instruct
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Output_llama70B_70-15-15
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Output_llama70B_70-15-15

This model is a fine-tuned version of [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5734
- Balanced Accuracy: 0.7044
- Accuracy: 0.6923

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| No log        | 1.0   | 46   | 0.7989          | 0.5634            | 0.5449   |
| No log        | 2.0   | 92   | 0.6930          | 0.5440            | 0.5449   |
| No log        | 3.0   | 138  | 0.6273          | 0.6321            | 0.6026   |
| No log        | 4.0   | 184  | 0.6713          | 0.5862            | 0.5833   |
| No log        | 5.0   | 230  | 0.6085          | 0.6298            | 0.6218   |
| No log        | 6.0   | 276  | 0.6010          | 0.6623            | 0.6538   |
| No log        | 7.0   | 322  | 0.5909          | 0.6800            | 0.6731   |
| No log        | 8.0   | 368  | 0.5874          | 0.6646            | 0.6603   |
| No log        | 9.0   | 414  | 0.5819          | 0.6722            | 0.6667   |
| No log        | 10.0  | 460  | 0.5734          | 0.7044            | 0.6923   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.20.3