This model is a fine-tuned version of ltuzova/amazon_domain_pretrained_model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1535
Accuracy: 0.957
F1 Macro: 0.9570

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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.2464	1.0	1250	0.2060	0.9492	0.9492
0.1454	2.0	2500	0.1566	0.9568	0.9568
0.0968	3.0	3750	0.2741	0.9524	0.9524
0.0535	4.0	5000	0.2514	0.9554	0.9554
0.0426	5.0	6250	0.2621	0.9542	0.9542

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ltuzova/imdb_classification_on_25M_full_pretrained_best_epoch_f1

imdb_classification_on_25M_full_pretrained_best_epoch_f1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ltuzova/
imdb_classification_on_25M_full_pretrained_best_epoch_f1