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--- |
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base_model: /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_10/checkpoint-1360 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- learn3r/gov_report_memsum_bp |
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metrics: |
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- rouge |
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model-index: |
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- name: longt5_xl_gov_memsum_bp_15 |
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results: |
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- task: |
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name: Summarization |
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type: summarization |
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dataset: |
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name: learn3r/gov_report_memsum_bp |
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type: learn3r/gov_report_memsum_bp |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 35.319 |
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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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# longt5_xl_gov_memsum_bp_15 |
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This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_10/checkpoint-1360](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_10/checkpoint-1360) on the learn3r/gov_report_memsum_bp dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2731 |
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- Rouge1: 35.319 |
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- Rouge2: 11.8288 |
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- Rougel: 16.3777 |
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- Rougelsum: 33.5357 |
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- Gen Len: 1942.3155 |
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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: 0.001 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 5.0 |
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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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| 0.1366 | 1.0 | 272 | 3.2731 | 35.319 | 11.8288 | 16.3777 | 33.5357 | 1942.3155 | |
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| 0.1183 | 2.0 | 545 | 3.3957 | 37.5265 | 12.4932 | 16.743 | 35.7285 | 1867.3145 | |
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| 0.1072 | 3.0 | 818 | 3.4308 | 41.1487 | 13.4035 | 17.5783 | 39.1233 | 1561.0853 | |
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| 0.0909 | 4.0 | 1091 | 3.6078 | 41.2814 | 13.3137 | 17.9878 | 39.2664 | 1429.4604 | |
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| 0.0834 | 4.99 | 1360 | 3.8803 | 42.0328 | 13.9186 | 17.8203 | 39.9705 | 1559.3237 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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