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wsklee/
distilbert-sentiment-cft

Name: distilbert-sentiment-cft
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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distilbert-sentiment-cft

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5920
Accuracy: 0.4997

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.3958	0.1733	500	3.5144	0.4997
3.2344	0.3465	1000	3.5543	0.4997
3.2003	0.5198	1500	3.5403	0.4997
3.172	0.6930	2000	3.5344	0.4997
3.1412	0.8663	2500	3.5140	0.4997
3.0853	1.0395	3000	3.6056	0.4997
3.0575	1.2128	3500	3.5920	0.4997

Framework versions

Transformers 4.46.2
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3

wsklee/distilbert-sentiment-cft

distilbert-sentiment-cft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wsklee/
distilbert-sentiment-cft