DialogLED-base-16384-dialogsum-finetuned-10epochs

This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset. It achieves the following results on the evaluation set:

• Loss: 1.3006

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
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.1611	2.57	500	1.2166
0.769	5.14	1000	1.2457
0.6162	7.7	1500	1.3006

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2