metadata
tags:
- generated_from_trainer
model-index:
- name: sum_model
results: []
sum_model
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3716
- eval_rouge1: 0.1884
- eval_rouge2: 0.0617
- eval_rougeL: 0.1504
- eval_rougeLsum: 0.1505
- eval_gen_len: 18.8567
- eval_runtime: 68.4902
- eval_samples_per_second: 21.901
- eval_steps_per_second: 1.095
- epoch: 2.0
- step: 2142
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: 2e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2