model_v1_complete_training_wt_init_48_small_emb_comp – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
model_v1_complete_training_wt_init_48_small_emb_comp

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

model_v1_complete_training_wt_init_48_small_emb_comp

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

Loss: 5.3637
Accuracy: 0.2281

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: 1e-05
train_batch_size: 48
eval_batch_size: 48
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.5703	0.25	30000	6.5612	0.1162
6.3542	0.49	60000	6.3484	0.1335
6.2455	0.74	90000	6.2454	0.1406
6.1931	0.98	120000	6.1884	0.1438
6.1452	1.23	150000	6.1441	0.1460
6.1194	1.47	180000	6.1122	0.1481
6.0939	1.72	210000	6.0831	0.1488
6.0463	1.97	240000	6.0348	0.1504
6.0078	2.21	270000	6.0020	0.1516
5.9732	2.46	300000	5.9705	0.1531
5.9408	2.7	330000	5.9340	0.1542
5.9028	2.95	360000	5.8904	0.1567
5.8675	3.2	390000	5.8527	0.1597
5.8365	3.44	420000	5.8116	0.1655
5.7944	3.69	450000	5.7580	0.1753
5.7198	3.93	480000	5.6695	0.1896
5.6264	4.18	510000	5.5688	0.2028
5.5337	4.42	540000	5.4742	0.2137
5.4748	4.67	570000	5.4033	0.2228
5.4301	4.92	600000	5.3637	0.2281

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.1
Tokenizers 0.13.3