| | --- |
| | library_name: transformers |
| | license: llama3.2 |
| | base_model: meta-llama/Llama-3.2-1B |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: model_output_luh2 |
| | 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. --> |
| |
|
| | # model_output_luh2 |
| |
|
| | 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: 1.9295 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:-----:|:---------------:| |
| | | 1.5118 | 0.2385 | 5000 | 1.9295 | |
| | | 0.9663 | 0.4769 | 10000 | 2.1287 | |
| | | 0.5362 | 0.7154 | 15000 | 2.4146 | |
| | | 0.2763 | 0.9539 | 20000 | 2.8170 | |
| | | 0.1798 | 1.1923 | 25000 | 3.0370 | |
| | | 0.1565 | 1.4308 | 30000 | 3.1830 | |
| | | 0.143 | 1.6693 | 35000 | 3.2466 | |
| | | 0.1259 | 1.9078 | 40000 | 3.3591 | |
| | | 0.1062 | 2.1462 | 45000 | 3.5343 | |
| | | 0.0987 | 2.3847 | 50000 | 3.7228 | |
| | | 0.0934 | 2.6232 | 55000 | 3.8807 | |
| | | 0.0901 | 2.8616 | 60000 | 3.9691 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.3 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.20.3 |
| |
|
