large-6-3
This model is a fine-tuned version of x/large-6-3/ on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6416
- Rouge1: 42.3382
- Rouge2: 18.9189
- Rougel: 34.5333
- Rougelsum: 34.5241
- Gen Len: 25.4879
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: 32
- 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 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2
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