You can deploy this model and start earning money today!

jakka/
t5_small_NCC_lm-finetuned-sv-frp-classifier-3

Name: t5_small_NCC_lm-finetuned-sv-frp-classifier-3
Availability: InStock

transformers

pytorch

text2text-generation

generated_from_trainer

norwegian_parliament

apache-2.0

text-generation-inference

endpoints_compatible

Views

No views yet

t5_small_NCC_lm-finetuned-sv-frp-classifier-3

This model is a fine-tuned version of north/t5_small_NCC_lm on the norwegian_parliament dataset. It achieves the following results on the evaluation set:

Loss: nan
Sequence Accuracy: 0.0

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: 0.001
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	113	nan
No log	2.0	226	nan
No log	3.0	339	nan
No log	4.0	452	nan
0.0	5.0	565	nan
0.0	6.0	678	nan
0.0	7.0	791	nan
0.0	8.0	904	nan
0.0	9.0	1017	nan
0.0	10.0	1130	nan

Framework versions

Transformers 4.16.2
Pytorch 1.9.0
Datasets 2.3.2
Tokenizers 0.11.0

jakka/t5_small_NCC_lm-finetuned-sv-frp-classifier-3

t5_small_NCC_lm-finetuned-sv-frp-classifier-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jakka/
t5_small_NCC_lm-finetuned-sv-frp-classifier-3