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longt5_xl_gov_memsum_bp_15
This model is a fine-tuned version of /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_10/checkpoint-1360 on the learn3r/gov_report_memsum_bp dataset. It achieves the following results on the evaluation set:
- Loss: 3.2731
- Rouge1: 35.319
- Rouge2: 11.8288
- Rougel: 16.3777
- Rougelsum: 33.5357
- Gen Len: 1942.3155
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1366 | 1.0 | 272 | 3.2731 | 35.319 | 11.8288 | 16.3777 | 33.5357 | 1942.3155 |
| 0.1183 | 2.0 | 545 | 3.3957 | 37.5265 | 12.4932 | 16.743 | 35.7285 | 1867.3145 |
| 0.1072 | 3.0 | 818 | 3.4308 | 41.1487 | 13.4035 | 17.5783 | 39.1233 | 1561.0853 |
| 0.0909 | 4.0 | 1091 | 3.6078 | 41.2814 | 13.3137 | 17.9878 | 39.2664 | 1429.4604 |
| 0.0834 | 4.99 | 1360 | 3.8803 | 42.0328 | 13.9186 | 17.8203 | 39.9705 | 1559.3237 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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Dataset used to train learn3r/longt5_xl_gov_memsum_bp_15
Evaluation results
- Rouge1 on learn3r/gov_report_memsum_bpself-reported35.319