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contemmcm/
71752e9321926f4b9cdbc963506a942e

Name: 71752e9321926f4b9cdbc963506a942e
Rating: 2.5 (5 reviews)

generated_from_trainer

google-bert/bert-large-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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71752e9321926f4b9cdbc963506a942e

This model is a fine-tuned version of google-bert/bert-large-uncased on the nyu-mll/glue [qqp] dataset. It achieves the following results on the evaluation set:

Loss: 0.6579
Data Size: 0.125
Epoch Runtime: 162.9491
Accuracy: 0.6320
F1 Macro: 0.3872
Rouge1: 0.6318
Rouge2: 0.0
Rougel: 0.6319
Rougelsum: 0.6317

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	Rouge1	Rougel	Rougelsum
No log	0	0	0.7510	0	31.5675	0.3685	0.2698	0.3686	0.3685	0.3687
0.6945	1	11370	0.6576	0.0078	40.1738	0.6320	0.3872	0.6318	0.6319	0.6317
0.6675	2	22740	0.6627	0.0156	48.2853	0.6320	0.3872	0.6318	0.6319	0.6317
0.6608	3	34110	0.6718	0.0312	65.7140	0.6320	0.3872	0.6318	0.6319	0.6317
0.673	4	45480	0.6586	0.0625	97.7018	0.6320	0.3872	0.6318	0.6319	0.6317
0.6682	5	56850	0.6579	0.125	162.9491	0.6320	0.3872	0.6318	0.6319	0.6317

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/71752e9321926f4b9cdbc963506a942e

71752e9321926f4b9cdbc963506a942e

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
71752e9321926f4b9cdbc963506a942e