README.md

metadata

license: apache-2.0
base_model: GuysTrans/bart-base-re-attention-mini-seq-512
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-re-attention-mini-seq-512
    results: []

bart-base-re-attention-mini-seq-512

This model is a fine-tuned version of GuysTrans/bart-base-re-attention-mini-seq-512 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 13.0113
• Rouge1: 0.0838
• Rouge2: 0.0
• Rougel: 0.084
• Rougelsum: 0.0844
• Gen Len: 19.9425

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
5.8616	1.0	2920	13.0113	0.0838	0.0	0.084	0.0844	19.9425

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1