| --- |
| license: mit |
| base_model: sn4kebyt3/ru-bart-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: bart-rebuilder |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bart-rebuilder |
|
|
| This model is a fine-tuned version of [sn4kebyt3/ru-bart-large](https://huggingface.co/sn4kebyt3/ru-bart-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8215 |
| - Bleu: 50.6678 |
| - Chrf: 77.7388 |
| - Gen Len: 23.5257 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: 0.0003 |
| - 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 | Chrf | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:| |
| | 0.5679 | 1.0 | 6914 | 0.7178 | 45.1359 | 74.9569 | 23.4132 | |
| | 0.2277 | 2.0 | 13828 | 0.6731 | 49.1274 | 76.9144 | 23.4925 | |
| | 0.0424 | 3.0 | 20742 | 0.8215 | 50.6678 | 77.7388 | 23.5257 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.39.3 |
| - Pytorch 2.1.2 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
