mt5-base-finetuned-test_63829_prefix_summarize – AI Model by emilstabil | AlphaNeural AI

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emilstabil/
mt5-base-finetuned-test_63829_prefix_summarize

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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mt5-base-finetuned-test_63829_prefix_summarize

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3498
Rouge1: 11.28
Rouge2: 3.5248
Rougel: 9.174
Rougelsum: 10.6313
Gen Len: 19.0

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
7.6624	1.25	500	2.6231	7.333	2.0471	6.2456	7.0157	14.01
3.3306	2.5	1000	2.5079	10.5135	3.0104	8.4645	9.8798	19.0
3.1123	3.75	1500	2.4512	10.5261	3.3739	8.6176	9.8711	19.0
2.9927	5.0	2000	2.4137	11.14	3.5973	9.2204	10.407	19.0
2.8765	6.25	2500	2.4050	10.9669	3.7633	9.1517	10.283	19.0
2.8211	7.5	3000	2.3828	11.6779	4.181	9.8295	10.9657	19.0
2.7589	8.75	3500	2.3756	11.6097	4.1335	9.7619	10.8368	19.0
2.722	10.0	4000	2.3627	11.8385	4.0634	9.6721	10.9386	19.0
2.6781	11.25	4500	2.3611	11.3415	3.5812	9.1328	10.6537	19.0
2.6648	12.5	5000	2.3524	11.3808	3.6088	9.2331	10.6316	19.0
2.6404	13.75	5500	2.3521	11.3031	3.5165	9.1629	10.6573	19.0
2.6397	15.0	6000	2.3498	11.28	3.5248	9.174	10.6313	19.0

Framework versions

Transformers 4.32.1
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.13.3