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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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base_model: sn4kebyt3/ru-bart-large |
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metrics: |
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- bleu |
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model-index: |
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- name: bart-caser |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bart-caser |
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This model is a fine-tuned version of [sn4kebyt3/ru-bart-large](https://huggingface.co/sn4kebyt3/ru-bart-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0552 |
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- Bleu: 95.1367 |
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- Meteor: 0.9722 |
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- Chrf: 98.1048 |
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- Gen Len: 17.4214 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:-------:| |
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| 0.088 | 1.0 | 3842 | 0.0640 | 92.9548 | 0.9591 | 97.3173 | 17.4084 | |
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| 0.0319 | 2.0 | 7684 | 0.0516 | 94.7706 | 0.9697 | 97.9786 | 17.4139 | |
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| 0.0114 | 3.0 | 11526 | 0.0552 | 95.1367 | 0.9722 | 98.1048 | 17.4214 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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