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jayantapaul888/
xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes

Name: xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3513
Accuracy: 0.8555
Precision: 0.8706
Recall: 0.8697
F1: 0.8699

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	378	0.3579	0.8526	0.8685	0.8667	0.8674
0.4989	2.0	756	0.3368	0.8503	0.8665	0.8650	0.8645
0.3318	3.0	1134	0.3379	0.8533	0.8693	0.8675	0.8678
0.279	4.0	1512	0.3426	0.8555	0.8712	0.8698	0.8696
0.279	5.0	1890	0.3495	0.8555	0.8717	0.8698	0.8698
0.2471	6.0	2268	0.3513	0.8555	0.8706	0.8697	0.8699

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1

jayantapaul888/xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes

xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jayantapaul888/
xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes