BartBana-deleteOriginal
This model is a fine-tuned version of IAmSkyDra/BARTBana_v4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7018
- Sacrebleu: 8.1356
- Chrf++: 20.8127
- Bertscore F1: 0.7507
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Chrf++ | Bertscore F1 |
|---|---|---|---|---|---|---|
| 0.7528 | 0.1000 | 2774 | 0.6202 | 3.8674 | 15.5174 | 0.7285 |
| 0.5889 | 0.1999 | 5548 | 0.6139 | 4.6054 | 16.4393 | 0.7325 |
| 0.4936 | 0.2999 | 8322 | 0.6120 | 5.4362 | 17.7869 | 0.7403 |
| 0.4208 | 0.3999 | 11096 | 0.6272 | 5.6644 | 17.9396 | 0.7393 |
| 0.3632 | 0.4998 | 13870 | 0.6338 | 5.9257 | 18.4708 | 0.7442 |
| 0.3166 | 0.5998 | 16644 | 0.6397 | 6.2413 | 18.7404 | 0.7449 |
| 0.282 | 0.6998 | 19418 | 0.6516 | 6.4587 | 18.9960 | 0.7467 |
| 0.2548 | 0.7997 | 22192 | 0.6615 | 6.6110 | 18.9584 | 0.7449 |
| 0.2298 | 0.8997 | 24966 | 0.6724 | 7.0878 | 19.5834 | 0.7456 |
| 0.2129 | 0.9997 | 27740 | 0.6713 | 7.3080 | 19.8304 | 0.7474 |
| 0.1862 | 1.0996 | 30514 | 0.6847 | 7.4609 | 20.1005 | 0.7493 |
| 0.1749 | 1.1996 | 33288 | 0.6923 | 7.4167 | 19.9609 | 0.7475 |
| 0.1658 | 1.2996 | 36062 | 0.6889 | 7.5104 | 20.2113 | 0.7499 |
| 0.1566 | 1.3995 | 38836 | 0.6898 | 7.7014 | 20.3499 | 0.7492 |
| 0.1485 | 1.4995 | 41610 | 0.6941 | 7.7123 | 20.1927 | 0.7496 |
| 0.1424 | 1.5995 | 44384 | 0.6968 | 7.8026 | 20.3893 | 0.7484 |
| 0.1374 | 1.6994 | 47158 | 0.7047 | 7.8897 | 20.4496 | 0.7487 |
| 0.1321 | 1.7994 | 49932 | 0.7002 | 8.0187 | 20.6740 | 0.7505 |
| 0.1278 | 1.8994 | 52706 | 0.7018 | 8.1356 | 20.8127 | 0.7507 |
| 0.1237 | 1.9994 | 55480 | 0.7031 | 8.1342 | 20.8311 | 0.7508 |
| 0.1118 | 2.0993 | 58254 | 0.7171 | 8.0924 | 20.7461 | 0.7509 |
| 0.1095 | 2.1993 | 61028 | 0.7181 | 8.1214 | 20.7349 | 0.7500 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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