results
This model is a fine-tuned version of LA1512/led-pubmed-20K-ORC-4096-epoch2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.4086
- eval_rouge1: 43.6834
- eval_rouge2: 14.2497
- eval_rougeL: 21.4191
- eval_rougeLsum: 38.1401
- eval_gen_len: 307.546
- eval_runtime: 28723.4999
- eval_samples_per_second: 0.017
- eval_steps_per_second: 0.009
- step: 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 1
- label_smoothing_factor: 0.1
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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