You can deploy this model and start earning money today!

61347023S/
xtremedistil-l6-h384-uncased-v5.0

Name: xtremedistil-l6-h384-uncased-v5.0
Availability: InStock

pytorch

bert

generated_from_trainer

microsoft/xtremedistil-l6-h384-uncased

finetune

mit

Views

No views yet

xtremedistil-l6-h384-uncased-v5.0

This model is a fine-tuned version of microsoft/xtremedistil-l6-h384-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5748
F1 Macro: 0.6478
F1 Micro: 0.6513
Accuracy Balanced: 0.6608
Accuracy: 0.6513
Precision Macro: 0.6723
Recall Macro: 0.6608
Precision Micro: 0.6513
Recall Micro: 0.6513

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: 2e-05
train_batch_size: 16
eval_batch_size: 128
seed: 40
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Micro	Accuracy Balanced	Accuracy	Precision Macro	Recall Macro	Precision Micro	Recall Micro
0.6487	0.85	200	0.6075	0.5947	0.6188	0.6447	0.6188	0.7143	0.6447	0.6188	0.6188
0.6417	1.69	400	0.5900	0.6186	0.6257	0.6423	0.6257	0.6622	0.6423	0.6257	0.6257
0.6328	2.54	600	0.5822	0.6477	0.6485	0.6574	0.6485	0.6613	0.6574	0.6485	0.6485

eval result

Datasets	asadfgglie/nli-zh-tw-all/test	asadfgglie/BanBan_2024-10-17-facial_expressions-nli/test	eval_dataset	test_dataset
eval_loss	0.562	0.701	0.579	0.575
eval_f1_macro	0.666	0.478	0.645	0.648
eval_f1_micro	0.67	0.479	0.648	0.651
eval_accuracy_balanced	0.684	0.481	0.662	0.661
eval_accuracy	0.67	0.479	0.648	0.651
eval_precision_macro	0.702	0.48	0.674	0.672
eval_recall_macro	0.684	0.481	0.662	0.661
eval_precision_micro	0.67	0.479	0.648	0.651
eval_recall_micro	0.67	0.479	0.648	0.651
eval_runtime	9.241	0.208	1.943	7.696
eval_samples_per_second	919.801	4553.642	972.241	981.982
eval_steps_per_second	7.25	38.509	7.72	7.797
Size of dataset	8500	946	1889	7557

Framework versions

Transformers 4.33.3
Pytorch 2.5.1+cu121
Datasets 2.14.7
Tokenizers 0.13.3

61347023S/xtremedistil-l6-h384-uncased-v5.0

xtremedistil-l6-h384-uncased-v5.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

eval result

Framework versions

61347023S/
xtremedistil-l6-h384-uncased-v5.0