README.md

metadata

license: apache-2.0
base_model: facebook/bart-large
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: BART-finetuned-on-training-knowledge
    results: []

BART-finetuned-on-training-knowledge

This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3542
• Bleu: 2.3806
• Gen Len: 18.7839

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: 10
• eval_batch_size: 10
• 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	Bleu	Gen Len
2.7568	1.0	504	2.3542	2.3806	18.7839

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.13.0
• Tokenizers 0.14.1