mt5-summarize-sum-test-internal – AI Model by raquelclemente | AlphaNeural AI

You can deploy this model and start earning money today!

raquelclemente/
mt5-summarize-sum-test-internal

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

mt5-summarize-sum-test-internal

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

Loss: 1.0371
Rouge1: 0.4910
Rouge2: 0.3100
Rougel: 0.3734
Rougelsum: 0.3734

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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 19
num_epochs: 19

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.9	5	1.0002	0.4672	0.3016	0.3936	0.3936
0.9822	3.81	10	0.9942	0.3989	0.3127	0.3713	0.3713
0.9822	5.71	15	1.0433	0.5093	0.3425	0.4298	0.4298
0.8459	7.62	20	1.0712	0.5394	0.3463	0.4320	0.4320
0.8459	9.52	25	1.0358	0.4281	0.2476	0.3160	0.3160
0.642	11.43	30	1.0335	0.4439	0.2582	0.3224	0.3224
0.642	13.33	35	1.0371	0.4910	0.3100	0.3734	0.3734

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2