20231207_Step_98_Retrain_Instrn_Bart-Samsun_v1.30
This model is a fine-tuned version of linydub/bart-large-samsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4292
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-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8211 | 1.0 | 1201 | 0.3633 |
| 0.301 | 2.0 | 2402 | 0.3271 |
| 0.2527 | 3.0 | 3603 | 0.3320 |
| 0.2061 | 4.0 | 4804 | 0.3400 |
| 0.1533 | 5.0 | 6005 | 0.3610 |
| 0.1602 | 6.0 | 7206 | 0.3814 |
| 0.131 | 7.0 | 8407 | 0.4089 |
| 0.1213 | 8.0 | 9608 | 0.4255 |
| 0.1003 | 9.0 | 10809 | 0.4292 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
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