LA1512/led-pubmed-20K-ORC-4096-epoch2-eval

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