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gokulsrinivasagan/
distilbert_lda_100

Name: distilbert_lda_100
Availability: InStock

generated_from_trainer

gokulsrinivasagan/processed_wikitext-103-raw-v1-ld

model-index

endpoints_compatible

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distilbert_lda_100

This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld dataset. It achieves the following results on the evaluation set:

Loss: 4.3555
Accuracy: 0.5667

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: 0.0001
train_batch_size: 96
eval_batch_size: 96
seed: 10
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
8.3242	4.1982	10000	8.2423	0.1513
6.3124	8.3963	20000	6.0353	0.3573
4.9214	12.5945	30000	4.7812	0.5051
4.5891	16.7926	40000	4.4732	0.5490
4.4469	20.9908	50000	4.3617	0.5604

Framework versions

Transformers 4.46.1
Pytorch 2.2.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1

gokulsrinivasagan/distilbert_lda_100

distilbert_lda_100

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokulsrinivasagan/
distilbert_lda_100