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contemmcm/
ee275d15bf827097119aec68c2ae1622

Name: ee275d15bf827097119aec68c2ae1622
Rating: 2.5 (8 reviews)

generated_from_trainer

studio-ousia/luke-japanese-large

finetune

apache-2.0

endpoints_compatible

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ee275d15bf827097119aec68c2ae1622

This model is a fine-tuned version of studio-ousia/luke-japanese-large on the nyu-mll/glue [qnli] dataset. It achieves the following results on the evaluation set:

Loss: 0.6953
Data Size: 0.125
Epoch Runtime: 82.7248
Accuracy: 0.4943
F1 Macro: 0.3308
Rouge1: 0.4947
Rouge2: 0.0
Rougel: 0.4943
Rougelsum: 0.4944

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	0.6962	0	8.9319	0.4732	0.4450	0.4730	0.4732	0.4730
No log	1	3273	0.6100	0.0078	13.4561	0.7353	0.7337	0.7353	0.7353	0.7351
0.0112	2	6546	0.7399	0.0156	18.8455	0.5099	0.3462	0.5094	0.5097	0.5097
0.7339	3	9819	0.7223	0.0312	28.7082	0.5057	0.3359	0.5053	0.5057	0.5056
0.6992	4	13092	0.6972	0.0625	46.3079	0.4943	0.3308	0.4947	0.4943	0.4944
0.6988	5	16365	0.6953	0.125	82.7248	0.4943	0.3308	0.4947	0.4943	0.4944

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/ee275d15bf827097119aec68c2ae1622

ee275d15bf827097119aec68c2ae1622

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
ee275d15bf827097119aec68c2ae1622