linker_v3 – Dataset by jarod0411 | AlphaNeural AI

You can deploy this model and start earning money today!

jarod0411/
linker_v3

like

0

Views

No views yet

linker_v3

This model is a fine-tuned version of jarod0411/linker_v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2291
Accuracy: 0.9209

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: 8
eval_batch_size: 8
seed: 1
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2532	1.0	33912	0.2459	0.9160
0.2433	2.0	67824	0.2392	0.9179
0.2384	3.0	101736	0.2358	0.9188
0.2354	4.0	135648	0.2336	0.9195
0.2331	5.0	169560	0.2322	0.9199
0.2307	6.0	203472	0.2311	0.9202
0.2293	7.0	237384	0.2303	0.9205
0.2282	8.0	271296	0.2297	0.9207
0.2274	9.0	305208	0.2293	0.9208
0.2269	10.0	339120	0.2291	0.9209

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0