metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: Llama1B_stsb
results: []
Llama1B_stsb
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4672
- Pearson: 0.8971
- Spearman: 0.8984
- Combined Score: 0.8978
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearman | Combined Score |
|---|---|---|---|---|---|---|
| 12.6109 | 1.0 | 180 | 0.8516 | 0.8310 | 0.8346 | 0.8328 |
| 1.0811 | 2.0 | 360 | 0.6817 | 0.8762 | 0.8756 | 0.8759 |
| 0.6641 | 3.0 | 540 | 0.6724 | 0.8695 | 0.8740 | 0.8718 |
| 0.4579 | 4.0 | 720 | 0.5094 | 0.8857 | 0.8859 | 0.8858 |
| 0.3244 | 5.0 | 900 | 0.5906 | 0.8908 | 0.8897 | 0.8903 |
| 0.2715 | 6.0 | 1080 | 0.5000 | 0.8867 | 0.8881 | 0.8874 |
| 0.1594 | 7.0 | 1260 | 0.4783 | 0.8941 | 0.8943 | 0.8942 |
| 0.102 | 8.0 | 1440 | 0.4699 | 0.8972 | 0.8975 | 0.8974 |
| 0.068 | 9.0 | 1620 | 0.4588 | 0.8973 | 0.8976 | 0.8975 |
| 0.0351 | 10.0 | 1800 | 0.4672 | 0.8971 | 0.8984 | 0.8978 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0