results
This model is a fine-tuned version of LA1512/Led-pubmed-20K-4096-epoch2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3315
- Rouge1: 43.8629
- Rouge2: 14.6606
- Rougel: 21.757
- Rougelsum: 38.2488
- Gen Len: 304.884
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for gianghoang/RL-20k-epoch1
Base model
pszemraj/led-base-book-summary
Finetuned
LA1512/Led-pubmed-20K-4096-v2
Finetuned
LA1512/Led-pubmed-20K-4096-epoch2