---
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: quality-lr5e-06-rr0.1-epochs2-bs16-wd0.01-warmup0.05-Llama3.21B
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# quality-lr5e-06-rr0.1-epochs2-bs16-wd0.01-warmup0.05-Llama3.21B

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4583

## 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-06
- train_batch_size: 1
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.3438        | 0.1000 | 1372  | 2.4412          |
| 1.3308        | 0.2001 | 2744  | 2.4745          |
| 1.1389        | 0.3001 | 4116  | 2.4700          |
| 1.0742        | 0.4001 | 5488  | 2.4735          |
| 1.2025        | 0.5002 | 6860  | 2.4791          |
| 0.9616        | 0.6002 | 8232  | 2.4880          |
| 1.0427        | 0.7002 | 9604  | 2.4838          |
| 1.021         | 0.8003 | 10976 | 2.4824          |
| 0.9657        | 0.9003 | 12348 | 2.4816          |
| 0.9601        | 1.0003 | 13720 | 2.4775          |
| 0.9308        | 1.1004 | 15092 | 2.4743          |
| 0.9075        | 1.2004 | 16464 | 2.4721          |
| 0.9257        | 1.3004 | 17836 | 2.4684          |
| 0.9466        | 1.4005 | 19208 | 2.4655          |
| 1.9584        | 1.5005 | 20580 | 2.4628          |
| 0.8827        | 1.6005 | 21952 | 2.4609          |
| 0.9602        | 1.7006 | 23324 | 2.4596          |
| 0.9366        | 1.8006 | 24696 | 2.4587          |
| 0.87          | 1.9006 | 26068 | 2.4583          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1