imdb_distilbert-base-uncased – AI Model by JeremiahZ | AlphaNeural AI

You can deploy this model and start earning money today!

JeremiahZ/
imdb_distilbert-base-uncased

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

imdb_distilbert-base-uncased

This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.2911
Accuracy: 0.8774

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6487	0.2	78	0.4402	0.8117
0.402	0.4	156	0.3563	0.8416
0.3528	0.6	234	0.3522	0.8434
0.3362	0.8	312	0.3099	0.8652
0.3184	1.0	390	0.3028	0.8700
0.265	1.2	468	0.3052	0.8738
0.2593	1.4	546	0.2983	0.8735
0.2537	1.6	624	0.2977	0.8754
0.2558	1.8	702	0.2911	0.8774
0.2476	1.99	780	0.2907	0.8751
0.1941	2.19	858	0.3151	0.8774
0.1873	2.39	936	0.3104	0.8764
0.1869	2.59	1014	0.3181	0.8771
0.1807	2.79	1092	0.3148	0.8764
0.1967	2.99	1170	0.3141	0.8766

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1