bart_tech_keywords
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8912
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4049 | 0.4447 | 50 | 1.1729 |
| 1.1023 | 0.8894 | 100 | 1.0794 |
| 0.9659 | 1.3341 | 150 | 0.9492 |
| 0.9226 | 1.7788 | 200 | 0.8965 |
| 0.8488 | 2.2235 | 250 | 0.8998 |
| 0.8581 | 2.6681 | 300 | 0.8912 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for wbcmthh42/bart_tech_keywords
Base model
facebook/bart-large