t5-base-Clakmann-thesis-epoch10 – AI Model by Clakmann | AlphaNeural AI

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Clakmann/
t5-base-Clakmann-thesis-epoch10

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-Clakmann-thesis-epoch10

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5727
Rouge1: 0.2268
Rouge2: 0.0853
Rougel: 0.215
Rougelsum: 0.2157
Gen Len: 14.2621

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8844	1.0	5029	1.6766	0.2148	0.0756	0.2044	0.2045	13.7397
1.7073	2.0	10058	1.6168	0.2196	0.0792	0.2099	0.2102	13.8238
1.6487	3.0	15087	1.5948	0.2199	0.0794	0.209	0.2091	14.3399
1.5773	4.0	20116	1.5800	0.2252	0.0816	0.2157	0.2164	13.9383
1.5114	5.0	25145	1.5770	0.2229	0.0798	0.212	0.2126	14.2567
1.4688	6.0	30174	1.5703	0.2255	0.0848	0.2158	0.2164	13.9973
1.4283	7.0	35203	1.5673	0.2237	0.0834	0.2125	0.2129	14.0966
1.4166	8.0	40232	1.5702	0.2276	0.0866	0.2153	0.2159	14.3453
1.3978	9.0	45261	1.5706	0.2274	0.0864	0.216	0.2166	14.2272
1.3688	10.0	50290	1.5727	0.2268	0.0853	0.215	0.2157	14.2621

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3