| --- |
| 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_x4_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_x4_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_4x dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7223 |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
|
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| ### Training hyperparameters |
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| 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: 4.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.7336 | 0.9996 | 996 | 0.7307 | |
| | 0.6923 | 1.9992 | 1992 | 0.7167 | |
| | 0.6521 | 2.9999 | 2989 | 0.7147 | |
| | 0.6204 | 3.9985 | 3984 | 0.7223 | |
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| ### Framework versions |
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|
| - Transformers 4.46.1 |
| - Pytorch 2.3.0 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
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