tech-dialogue-summarization

This model is a fine-tuned version of facebook/bart-large-xsum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2347
• Rouge1: 28.5714
• Rouge2: 9.8361
• Rougel: 19.0476
• Rougelsum: 25.3968
• Gen Len: 21.0

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	2.5010	25.3968	9.8361	22.2222	25.3968	21.0
No log	2.0	2	2.5010	25.3968	9.8361	22.2222	25.3968	21.0
No log	3.0	3	2.2347	28.5714	9.8361	19.0476	25.3968	21.0

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1