pegasus-large-commentaries_hd

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

• Loss: 2.5453
• Rouge1: 26.3475
• Rouge2: 9.5095
• Rougel: 22.6367
• Rougelsum: 22.8127
• Gen Len: 14.4789

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5718	1.0	4710	2.5277	25.1384	8.6528	21.3443	21.5289	15.3268
2.4034	2.0	9420	2.4973	25.9298	9.2238	22.3192	22.4817	14.2243
2.2093	3.0	14130	2.5013	26.6036	9.7482	22.8409	23.0077	14.2263
2.0518	4.0	18840	2.5272	26.4723	9.6599	22.7439	22.9201	14.38
1.9906	5.0	23550	2.5453	26.3475	9.5095	22.6367	22.8127	14.4789

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3