SummarEaseElementaryV4
This model is a fine-tuned version of notBanana/SummarEaseElementaryV3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2757
- Rouge1: 0.1334
- Rouge2: 0.0545
- Rougel: 0.115
- Rougelsum: 0.1147
- Gen Len: 20.0
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 2.2787 | 0.1259 | 0.0521 | 0.1093 | 0.1098 | 20.0 |
| No log | 2.0 | 2 | 2.2686 | 0.125 | 0.0482 | 0.1055 | 0.106 | 20.0 |
| No log | 3.0 | 3 | 2.2718 | 0.1281 | 0.0482 | 0.1083 | 0.1086 | 20.0 |
| No log | 4.0 | 4 | 2.2757 | 0.1334 | 0.0545 | 0.115 | 0.1147 | 20.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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