results
This model is a fine-tuned version of pszemraj/led-base-book-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2980
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6945 | 0.16 | 200 | 3.6057 |
| 3.507 | 0.32 | 400 | 3.4589 |
| 3.3749 | 0.48 | 600 | 3.3921 |
| 3.3476 | 0.64 | 800 | 3.3396 |
| 3.297 | 0.8 | 1000 | 3.3113 |
| 3.3502 | 0.96 | 1200 | 3.2980 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2