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sai17/
test_trainer

Name: test_trainer
Rating: 2.5 (9 reviews)

generated_from_trainer

pysentimiento/robertuito-base-uncased

finetune

autotrain_compatible

endpoints_compatible

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test_trainer

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

Loss: 0.0158
F1: 0.9987
Recall: 0.9987

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: 5e-05
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall
No log	1.0	95	0.0224	0.9960	0.9960
No log	2.0	190	0.0103	0.9987	0.9987
No log	3.0	285	0.0109	0.9987	0.9987
No log	4.0	380	0.0198	0.9974	0.9973
No log	5.0	475	0.0130	0.9987	0.9987
0.0139	6.0	570	0.0130	0.9987	0.9987
0.0139	7.0	665	0.0131	0.9987	0.9987
0.0139	8.0	760	0.0133	0.9987	0.9987
0.0139	9.0	855	0.0134	0.9987	0.9987
0.0139	10.0	950	0.0136	0.9987	0.9987
0.0	11.0	1045	0.0137	0.9987	0.9987
0.0	12.0	1140	0.0138	0.9987	0.9987
0.0	13.0	1235	0.0138	0.9987	0.9987
0.0	14.0	1330	0.0140	0.9987	0.9987
0.0	15.0	1425	0.0141	0.9987	0.9987
0.0	16.0	1520	0.0142	0.9987	0.9987
0.0	17.0	1615	0.0143	0.9987	0.9987
0.0	18.0	1710	0.0144	0.9987	0.9987
0.0	19.0	1805	0.0145	0.9987	0.9987
0.0	20.0	1900	0.0146	0.9987	0.9987
0.0	21.0	1995	0.0147	0.9987	0.9987
0.0	22.0	2090	0.0147	0.9987	0.9987
0.0	23.0	2185	0.0148	0.9987	0.9987
0.0	24.0	2280	0.0149	0.9987	0.9987
0.0	25.0	2375	0.0150	0.9987	0.9987
0.0	26.0	2470	0.0151	0.9987	0.9987
0.0	27.0	2565	0.0151	0.9987	0.9987
0.0	28.0	2660	0.0152	0.9987	0.9987
0.0	29.0	2755	0.0152	0.9987	0.9987
0.0	30.0	2850	0.0153	0.9987	0.9987
0.0	31.0	2945	0.0153	0.9987	0.9987
0.0	32.0	3040	0.0154	0.9987	0.9987
0.0	33.0	3135	0.0155	0.9987	0.9987
0.0	34.0	3230	0.0154	0.9987	0.9987
0.0	35.0	3325	0.0154	0.9987	0.9987
0.0	36.0	3420	0.0155	0.9987	0.9987
0.0	37.0	3515	0.0155	0.9987	0.9987
0.0	38.0	3610	0.0156	0.9987	0.9987
0.0	39.0	3705	0.0156	0.9987	0.9987
0.0	40.0	3800	0.0156	0.9987	0.9987
0.0	41.0	3895	0.0155	0.9987	0.9987
0.0	42.0	3990	0.0156	0.9987	0.9987
0.0	43.0	4085	0.0156	0.9987	0.9987
0.0	44.0	4180	0.0156	0.9987	0.9987
0.0	45.0	4275	0.0157	0.9987	0.9987
0.0	46.0	4370	0.0157	0.9987	0.9987
0.0	47.0	4465	0.0157	0.9987	0.9987
0.0	48.0	4560	0.0158	0.9987	0.9987
0.0	49.0	4655	0.0158	0.9987	0.9987
0.0	50.0	4750	0.0158	0.9987	0.9987

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

sai17/test_trainer

test_trainer

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sai17/
test_trainer