| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| base_model: sn4kebyt3/ru-bart-large |
| metrics: |
| - bleu |
| model-index: |
| - name: bart-caser |
| 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-caser |
|
|
| 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: 0.0552 |
| - 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.40.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
