| | --- |
| | 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: llama3-1_8b_baseline_infinity_instruct |
| | 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. --> |
| |
|
| | # llama3-1_8b_baseline_infinity_instruct |
| |
|
| | 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 BAAI/Infinity-Instruct dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9010 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 32 |
| | - total_train_batch_size: 512 |
| | - total_eval_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - lr_scheduler_warmup_steps: 1738 |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.9018 | 1.0 | 423 | 0.9103 | |
| | | 0.8586 | 2.0 | 846 | 0.9001 | |
| | | 0.8143 | 3.0 | 1269 | 0.9010 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.0 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| |
|
