bart-caser
This model is a fine-tuned version of sn4kebyt3/ru-bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0552
- Bleu: 95.1367
- Meteor: 0.9722
- Chrf: 98.1048
- Gen Len: 17.4214
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf | Gen Len |
|---|---|---|---|---|---|---|---|
| 0.088 | 1.0 | 3842 | 0.0640 | 92.9548 | 0.9591 | 97.3173 | 17.4084 |
| 0.0319 | 2.0 | 7684 | 0.0516 | 94.7706 | 0.9697 | 97.9786 | 17.4139 |
| 0.0114 | 3.0 | 11526 | 0.0552 | 95.1367 | 0.9722 | 98.1048 | 17.4214 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
sn4kebyt3/ru-bart-large