distilbert-lolchamps – AI Model by avinot | AlphaNeural AI

You can deploy this model and start earning money today!

avinot/
distilbert-lolchamps

like

0

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-lolchamps

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

Loss: 1.6389

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
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
2.7704	1.0	81	2.3357
2.3018	2.0	162	2.1004
2.1364	3.0	243	1.9746
2.0045	4.0	324	1.8978
1.9227	5.0	405	1.8303
1.8589	6.0	486	1.7865
1.8129	7.0	567	1.7097
1.7781	8.0	648	1.7250
1.754	9.0	729	1.6804
1.7308	10.0	810	1.6659
1.7039	11.0	891	1.6875
1.6905	12.0	972	1.6248
1.6819	13.0	1053	1.6169
1.6828	14.0	1134	1.6596
1.6722	15.0	1215	1.6389

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.15.2