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contemmcm/
e02eb2c284892973e8f25a68015d5374

Name: e02eb2c284892973e8f25a68015d5374
Rating: 2.5 (12 reviews)

generated_from_trainer

google-bert/bert-large-uncased-whole-word-masking

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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e02eb2c284892973e8f25a68015d5374

This model is a fine-tuned version of google-bert/bert-large-uncased-whole-word-masking on the contemmcm/amazon_reviews_2013 [cell-phone] dataset. It achieves the following results on the evaluation set:

Loss: 0.8726
Data Size: 1.0
Epoch Runtime: 224.2795
Accuracy: 0.6757
F1 Macro: 0.5942

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	1.6530	0	12.5811	0.1864	0.0929
No log	1	1973	1.3305	0.0078	15.4530	0.4914	0.3185
0.0282	2	3946	0.9280	0.0156	16.3489	0.6041	0.4319
0.9532	3	5919	0.8946	0.0312	20.7930	0.6256	0.4793
0.8683	4	7892	0.8571	0.0625	27.4441	0.6392	0.5369
0.8159	5	9865	0.8939	0.125	40.5887	0.6445	0.4911
0.7847	6	11838	0.7965	0.25	66.6236	0.6682	0.5626
0.819	7	13811	0.7356	0.5	119.7266	0.6917	0.6191
0.7425	8.0	15784	0.7798	1.0	224.4164	0.6764	0.6281
0.6695	9.0	17757	0.8099	1.0	223.5268	0.6943	0.6024
0.5917	10.0	19730	0.7884	1.0	223.4544	0.6763	0.6180
0.5931	11.0	21703	0.8726	1.0	224.2795	0.6757	0.5942

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1

contemmcm/e02eb2c284892973e8f25a68015d5374

e02eb2c284892973e8f25a68015d5374

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
e02eb2c284892973e8f25a68015d5374