my_awesome_billsum_model
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7927
- eval_rouge1: 0.1895
- eval_rouge2: 0.0969
- eval_rougeL: 0.1641
- eval_rougeLsum: 0.1692
- eval_gen_len: 20.0
- eval_runtime: 47.5253
- eval_samples_per_second: 5.218
- eval_steps_per_second: 1.052
- epoch: 2.0
- step: 396
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
allenai/led-base-16384