metadata
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: []
0ec236299b317d76c0f94de06fc85471
This model is a fine-tuned version of 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