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--- |
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language: |
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- ru |
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base_model: Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: lsg-lsh-mbart-cc25-16384-128-4-4ep |
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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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# lsg-lsh-mbart-cc25-16384-128-4-4ep |
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This model is a fine-tuned version of [Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep](https://huggingface.co/Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5736 |
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- Rouge1: 2.6972 |
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- Rouge2: 1.6893 |
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- Rougel: 2.6528 |
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- Rougelsum: 2.6347 |
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- Gen Len: 135.5 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 2.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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