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base-4-4
This model is a fine-tuned version of x/base-4-4/ on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8550
- Rouge1: 37.2128
- Rouge2: 14.2978
- Rougel: 29.5447
- Rougelsum: 29.5452
- Gen Len: 27.3975
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.10.0
- Tokenizers 0.13.2