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hiba2/
results_t5_wiki

Name: results_t5_wiki
Availability: InStock

generated_from_trainer

ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar

finetune

apache-2.0

text-generation-inference

endpoints_compatible

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results_t5_wiki

This model is a fine-tuned version of ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0002
Rouge1: 0.1188
Rouge2: 0.0194
Rougel: 0.1188
Rougelsum: 0.1186
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: 0.0005
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
lr_scheduler_warmup_steps: 250
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8768	0.2143	500	0.0228	0.1148	0.0128	0.1148	0.1147	19.0
0.0437	0.4286	1000	0.0111	0.1164	0.0154	0.1168	0.1165	19.0
0.0436	0.6429	1500	0.0060	0.1168	0.0163	0.1171	0.1169	19.0
0.0212	0.8573	2000	0.0052	0.117	0.0165	0.1173	0.117	19.0
0.0161	1.0716	2500	0.0018	0.1188	0.0194	0.1188	0.1186	19.0
0.011	1.2859	3000	0.0018	0.1188	0.0193	0.1188	0.1186	19.0
0.0094	1.5002	3500	0.0014	0.1188	0.0194	0.1188	0.1186	19.0
0.0107	1.7145	4000	0.0007	0.1188	0.0194	0.1188	0.1186	19.0
0.0069	1.9288	4500	0.0006	0.1188	0.0194	0.1188	0.1186	19.0
0.007	2.1432	5000	0.0006	0.1188	0.0194	0.1188	0.1186	19.0
0.0064	2.3575	5500	0.0006	0.1188	0.0194	0.1188	0.1186	19.0
0.0062	2.5718	6000	0.0015	0.1188	0.0194	0.1188	0.1186	19.0
0.0042	2.7861	6500	0.0005	0.1188	0.0194	0.1188	0.1186	19.0
0.0043	3.0004	7000	0.0004	0.1188	0.0194	0.1188	0.1186	19.0
0.0042	3.2147	7500	0.0012	0.1188	0.0194	0.1188	0.1186	19.0
0.0047	3.4291	8000	0.0010	0.1188	0.0194	0.1188	0.1186	19.0
0.0043	3.6434	8500	0.0008	0.1188	0.0194	0.1188	0.1186	19.0
0.0024	3.8577	9000	0.0003	0.1188	0.0194	0.1188	0.1186	19.0
0.0026	4.0720	9500	0.0005	0.1188	0.0194	0.1188	0.1186	19.0
0.0029	4.2863	10000	0.0003	0.1188	0.0194	0.1188	0.1186	19.0
0.0045	4.5006	10500	0.0006	0.1188	0.0194	0.1188	0.1186	19.0
0.0024	4.7150	11000	0.0001	0.1188	0.0194	0.1188	0.1186	19.0
0.0018	4.9293	11500	0.0002	0.1188	0.0194	0.1188	0.1186	19.0
0.002	5.1436	12000	0.0002	0.1188	0.0194	0.1188	0.1186	19.0
0.0022	5.3579	12500	0.0001	0.1188	0.0194	0.1188	0.1186	19.0
0.0017	5.5722	13000	0.0003	0.1188	0.0194	0.1188	0.1186	19.0
0.0014	5.7865	13500	0.0005	0.1188	0.0194	0.1188	0.1186	19.0
0.0055	6.0009	14000	0.0012	0.1188	0.0194	0.1188	0.1186	16.3147
0.0127	6.2152	14500	0.0002	0.1188	0.0194	0.1188	0.1186	19.0
0.0012	6.4295	15000	0.0002	0.1188	0.0194	0.1188	0.1186	19.0

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

hiba2/results_t5_wiki

results_t5_wiki

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hiba2/
results_t5_wiki