results
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the knkarthick/AMI, knkarthick/dialogsum, and samsum datasets. It achieves the following results on the evaluation set:
- eval_loss: 3.0155
- eval_rouge1: 46.2466
- eval_rouge2: 21.7289
- eval_rougeL: 38.0362
- eval_rougeLsum: 41.8935
- eval_gen_len: 25.8284
- eval_runtime: 554.679
- eval_samples_per_second: 5.609
- eval_steps_per_second: 1.403
- epoch: 0.33
- step: 2317
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: 4
- eval_batch_size: 4
- 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
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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