a176e17ab6c6863c4ff58dc7764affa0
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the contemmcm/trec dataset. It achieves the following results on the evaluation set:
- Loss: 1.5289
- Data Size: 1.0
- Epoch Runtime: 29.1335
- Accuracy: 0.9146
- F1 Macro: 0.9316
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 | 15.1356 | 0 | 1.6401 | 0.1792 | 0.1176 |
| No log | 1 | 170 | 14.2990 | 0.0078 | 1.6615 | 0.2917 | 0.1892 |
| No log | 2 | 340 | 3.5879 | 0.0156 | 2.6656 | 0.7479 | 0.5826 |
| No log | 3 | 510 | 2.2631 | 0.0312 | 5.2507 | 0.8521 | 0.7544 |
| No log | 4 | 680 | 1.1023 | 0.0625 | 6.1611 | 0.9354 | 0.9149 |
| 0.2064 | 5 | 850 | 2.0139 | 0.125 | 8.5063 | 0.8417 | 0.8115 |
| 0.2064 | 6 | 1020 | 1.5380 | 0.25 | 11.2561 | 0.9104 | 0.8875 |
| 1.1831 | 7 | 1190 | 1.5048 | 0.5 | 16.9064 | 0.9292 | 0.9263 |
| 0.7338 | 8.0 | 1360 | 1.5289 | 1.0 | 29.1335 | 0.9146 | 0.9316 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
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Model tree for contemmcm/a176e17ab6c6863c4ff58dc7764affa0
Base model
meta-llama/Llama-3.2-1B-Instruct