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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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