SignBart-ASL-1000 – AI Model by tinh2312 | AlphaNeural AI

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SignBart-ASL-1000

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SignBart-ASL-1000

This model is a fine-tuned version of tinh2312/SignBart-ASL-1000 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8280
Accuracy: 0.8145
Precision: 0.8290
Recall: 0.8145

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-06
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall
0.9268	1.0	96	0.8296	0.8147	0.8295	0.8147
0.8969	2.0	192	0.8287	0.8159	0.8304	0.8159
0.9075	3.0	288	0.8281	0.8152	0.8297	0.8152
0.8239	4.0	384	0.8282	0.8145	0.8295	0.8145
0.9632	5.0	480	0.8283	0.8138	0.8287	0.8138
0.906	6.0	576	0.8278	0.8145	0.8287	0.8145
0.884	7.0	672	0.8282	0.8152	0.8304	0.8152
1.0349	8.0	768	0.8282	0.8141	0.8289	0.8141
0.8927	9.0	864	0.8280	0.8145	0.8289	0.8145
0.92	10.0	960	0.8279	0.8147	0.8292	0.8147
0.9897	11.0	1056	0.8280	0.8145	0.8290	0.8145

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0