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---
library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: oh_scale_x.5_compute_equal
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. -->
# oh_scale_x.5_compute_equal
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v1.3_no-curation_gpt-4o-mini_scale_0.5x dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4058
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 25.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.7807 | 0.9947 | 165 | 0.7690 |
| 0.7139 | 1.9955 | 331 | 0.7520 |
| 0.6642 | 2.9962 | 497 | 0.7525 |
| 0.6186 | 3.9970 | 663 | 0.7615 |
| 0.5777 | 4.9977 | 829 | 0.7785 |
| 0.5287 | 5.9985 | 995 | 0.8154 |
| 0.473 | 6.9992 | 1161 | 0.8710 |
| 0.4134 | 8.0 | 1327 | 0.9475 |
| 0.3615 | 8.9947 | 1492 | 1.0203 |
| 0.3057 | 9.9955 | 1658 | 1.1177 |
| 0.2565 | 10.9962 | 1824 | 1.2368 |
| 0.2099 | 11.9970 | 1990 | 1.3552 |
| 0.1676 | 12.9977 | 2156 | 1.5071 |
| 0.1283 | 13.9985 | 2322 | 1.6324 |
| 0.1022 | 14.9992 | 2488 | 1.7542 |
| 0.0779 | 16.0 | 2654 | 1.8729 |
| 0.0607 | 16.9947 | 2819 | 1.9862 |
| 0.0481 | 17.9955 | 2985 | 2.0547 |
| 0.038 | 18.9962 | 3151 | 2.1351 |
| 0.0306 | 19.9970 | 3317 | 2.2255 |
| 0.0256 | 20.9977 | 3483 | 2.2699 |
| 0.0221 | 21.9985 | 3649 | 2.3515 |
| 0.0197 | 22.9992 | 3815 | 2.3599 |
| 0.0186 | 24.0 | 3981 | 2.3888 |
| 0.0169 | 24.8681 | 4125 | 2.4058 |
### Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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