nep-spell-hft-993-01-05 – AI Model by dura-garage | AlphaNeural AI

You can deploy this model and start earning money today!

dura-garage/
nep-spell-hft-993-01-05

like

0

text2text-generation

generated_from_trainer

duraad/nep-spell-hft

endpoints_compatible

Views

No views yet

nep-spell-hft-993-01-05

This model is a fine-tuned version of duraad/nep-spell-hft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.2828
Precision: 0.2828
Recall: 0.2828
F1: 0.2828

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-06
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0	0.75	100	nan	0.2828	0.2828	0.2828	0.2828
0.0	1.5	200	nan	0.2828	0.2828	0.2828	0.2828
0.0	2.26	300	nan	0.2828	0.2828	0.2828	0.2828
0.0	3.01	400	nan	0.2828	0.2828	0.2828	0.2828
0.0	3.76	500	nan	0.2828	0.2828	0.2828	0.2828
0.0	4.51	600	nan	0.2828	0.2828	0.2828	0.2828

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2