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contemmcm/
373fa283d8c2986d77ad75cba40f001f

Name: 373fa283d8c2986d77ad75cba40f001f
Rating: 2.5 (5 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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373fa283d8c2986d77ad75cba40f001f

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the nyu-mll/glue [wnli] dataset. It achieves the following results on the evaluation set:

Loss: 0.7012
Data Size: 1.0
Epoch Runtime: 1.5046
Accuracy: 0.5312
F1 Macro: 0.3469
Rouge1: 0.5312
Rouge2: 0.0
Rougel: 0.5312
Rougelsum: 0.5312

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	0.6976	0	0.6094	0.3594	0.3554	0.3594	0.3594	0.3594
No log	1	19	0.7090	0.0078	1.0752	0.4375	0.3043	0.4375	0.4375	0.4375
No log	2	38	0.7244	0.0156	0.7491	0.4375	0.3043	0.4375	0.4375	0.4375
No log	3	57	0.7170	0.0312	0.8857	0.4375	0.3043	0.4375	0.4375	0.4375
No log	4	76	0.7021	0.0625	0.9536	0.4062	0.4039	0.4062	0.4062	0.4062
No log	5	95	0.6981	0.125	1.0188	0.5312	0.3469	0.5312	0.5312	0.5312
0.0793	6	114	0.7037	0.25	1.0498	0.5	0.3333	0.5	0.5	0.5
0.0793	7	133	0.7273	0.5	1.2075	0.3906	0.2809	0.3906	0.3906	0.3906
0.523	8.0	152	0.7161	1.0	1.6342	0.25	0.2433	0.25	0.25	0.25
0.523	9.0	171	0.7012	1.0	1.5046	0.5312	0.3469	0.5312	0.5312	0.5312

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/373fa283d8c2986d77ad75cba40f001f

373fa283d8c2986d77ad75cba40f001f

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
373fa283d8c2986d77ad75cba40f001f