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--- |
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license: apache-2.0 |
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tags: |
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- summarization |
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- fa |
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- mt5 |
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- Abstractive Summarization |
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- generated_from_trainer |
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datasets: |
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- pn_summary |
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model-index: |
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- name: mt5-base-finetuned-fa |
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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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# mt5-base-finetuned-fa |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the pn_summary dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6477 |
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- Rouge-1: 33.7 |
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- Rouge-2: 21.28 |
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- Rouge-l: 31.69 |
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- Gen Len: 19.0 |
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- Bertscore: 74.52 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 250 |
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- num_epochs: 5 |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:| |
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| 3.3828 | 1.0 | 1875 | 2.8114 | 32.17 | 19.47 | 30.12 | 18.99 | 74.25 | |
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| 2.8204 | 2.0 | 3750 | 2.7080 | 32.67 | 19.92 | 30.56 | 19.0 | 74.31 | |
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| 2.6907 | 3.0 | 5625 | 2.6724 | 33.22 | 20.44 | 31.11 | 19.0 | 74.47 | |
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| 2.6029 | 4.0 | 7500 | 2.6513 | 33.46 | 20.75 | 31.38 | 19.0 | 74.54 | |
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| 2.5414 | 5.0 | 9375 | 2.6477 | 33.68 | 20.91 | 31.62 | 19.0 | 74.58 | |
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### Framework versions |
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- Transformers 4.19.4 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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