smol_llama_DialogSumm
This model is a fine-tuned version of Felladrin/Smol-Llama-101M-Chat-v1 on Isotonic/DialogSumm dataset. It achieves the following results on the evaluation set:
- Loss: 1.8918
- Accuracy: 0.6050
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-04
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 411 | 2.0053 | 0.5871 |
| 2.0885 | 2.0 | 822 | 1.9287 | 0.5971 |
| 1.8728 | 3.0 | 1233 | 1.8916 | 0.6039 |
| 1.7214 | 4.0 | 1644 | 1.8918 | 0.6050 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1