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--- |
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license: apache-2.0 |
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base_model: mHossain/Albaniani_sum_v1 |
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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: ml_sum_v1 |
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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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# ml_sum_v1 |
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This model is a fine-tuned version of [mHossain/Albaniani_sum_v1](https://huggingface.co/mHossain/Albaniani_sum_v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2080 |
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- Rouge1: 6.9869 |
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- Rouge2: 2.6256 |
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- Rougel: 6.4271 |
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- Rougelsum: 6.8073 |
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- Gen Len: 19.0 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 5000 |
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- num_epochs: 2 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| No log | 1.0 | 312 | 2.5009 | 5.4872 | 1.8136 | 5.032 | 5.3296 | 18.985 | |
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| 3.2952 | 2.0 | 624 | 2.2080 | 6.9869 | 2.6256 | 6.4271 | 6.8073 | 19.0 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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