bart-abs-2409-1947-lr-0.0003-bs-2-maxep-10

This model is a fine-tuned version of sshleifer/distilbart-xsum-12-6 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 7.4055
• Rouge/rouge1: 0.2434
• Rouge/rouge2: 0.0406
• Rouge/rougel: 0.2027
• Rouge/rougelsum: 0.203
• Bertscore/bertscore-precision: 0.8533
• Bertscore/bertscore-recall: 0.8523
• Bertscore/bertscore-f1: 0.8528
• Meteor: 0.194
• Gen Len: 34.0

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: 0.0003
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge/rouge1	Rouge/rouge2	Rouge/rougel	Rouge/rougelsum	Bertscore/bertscore-precision	Bertscore/bertscore-recall	Bertscore/bertscore-f1	Meteor	Gen Len
0.6036	1.0	434	6.4324	0.2828	0.0721	0.2287	0.229	0.8776	0.863	0.8702	0.1865	29.0
0.6828	2.0	868	5.8330	0.2817	0.0594	0.2119	0.2118	0.8553	0.8592	0.8572	0.2216	38.0
0.5861	3.0	1302	6.4604	0.2456	0.0556	0.1909	0.1914	0.8622	0.8598	0.861	0.2363	41.0
0.4888	4.0	1736	6.3098	0.2591	0.0557	0.2009	0.2012	0.859	0.8605	0.8597	0.2511	47.0
0.4314	5.0	2170	6.7076	0.3042	0.0843	0.2354	0.2357	0.8695	0.8605	0.8649	0.22	32.0
0.379	6.0	2604	6.7173	0.2844	0.0777	0.2203	0.22	0.8641	0.8631	0.8635	0.2167	34.0
0.3245	7.0	3038	6.8382	0.2613	0.0803	0.214	0.2142	0.8711	0.8469	0.8588	0.2102	25.0
0.289	8.0	3472	7.0253	0.2396	0.0481	0.1978	0.198	0.8526	0.8544	0.8534	0.2079	34.0
0.2575	9.0	3906	7.1264	0.3089	0.0693	0.2341	0.2343	0.8686	0.8645	0.8665	0.2205	36.0
0.2312	10.0	4340	7.4055	0.2434	0.0406	0.2027	0.203	0.8533	0.8523	0.8528	0.194	34.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 3.0.0
• Tokenizers 0.19.1