| | --- |
| | library_name: transformers |
| | license: llama3.2 |
| | base_model: meta-llama/Llama-3.2-1B-Instruct |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: 0ec236299b317d76c0f94de06fc85471 |
| | 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. --> |
| |
|
| | # 0ec236299b317d76c0f94de06fc85471 |
| |
|
| | This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the contemmcm/cls_mmlu dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 5.8746 |
| | - Data Size: 1.0 |
| | - Epoch Runtime: 78.5633 |
| | - Accuracy: 0.2779 |
| | - F1 Macro: 0.2241 |
| | |
| | ## 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-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Use 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: 50 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:| |
| | | No log | 0 | 0 | 9.9364 | 0 | 2.9379 | 0.2420 | 0.1876 | |
| | | No log | 1 | 438 | 11.6798 | 0.0078 | 3.5674 | 0.2453 | 0.0998 | |
| | | No log | 2 | 876 | 6.0949 | 0.0156 | 5.5874 | 0.2374 | 0.1504 | |
| | | No log | 3 | 1314 | 5.8527 | 0.0312 | 8.3921 | 0.2487 | 0.0996 | |
| | | No log | 4 | 1752 | 5.9142 | 0.0625 | 11.6323 | 0.2354 | 0.1503 | |
| | | 0.3881 | 5 | 2190 | 6.0489 | 0.125 | 17.1439 | 0.2620 | 0.1625 | |
| | | 0.7521 | 6 | 2628 | 5.5870 | 0.25 | 26.2689 | 0.2666 | 0.1350 | |
| | | 5.6417 | 7 | 3066 | 5.6066 | 0.5 | 44.1598 | 0.2460 | 0.0999 | |
| | | 5.6381 | 8.0 | 3504 | 5.6027 | 1.0 | 81.3182 | 0.2527 | 0.1008 | |
| | | 5.5548 | 9.0 | 3942 | 5.7473 | 1.0 | 80.5339 | 0.2533 | 0.1011 | |
| | | 5.1021 | 10.0 | 4380 | 5.8746 | 1.0 | 78.5633 | 0.2779 | 0.2241 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.0 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 4.3.0 |
| | - Tokenizers 0.22.1 |
| | |
