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bart-finetuning-job-recs
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: 2.1219
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.878 | 0.1 | 1000 | 2.5845 |
2.5583 | 0.2 | 2000 | 2.4206 |
2.3887 | 0.3 | 3000 | 2.3398 |
2.244 | 0.4 | 4000 | 2.2853 |
2.2182 | 0.5 | 5000 | 2.2355 |
2.1509 | 0.6 | 6000 | 2.1872 |
2.0912 | 0.7 | 7000 | 2.1582 |
2.1208 | 0.8 | 8000 | 2.1435 |
2.0248 | 0.9 | 9000 | 2.1309 |
2.0394 | 1.0 | 10000 | 2.1219 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2