distilbert-base-multilingual-cased-sentiment-2

This model is a fine-tuned version of distilbert-base-multilingual-cased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.6067
Accuracy: 0.7476
F1: 0.7476

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: 0.00024
train_batch_size: 16
eval_batch_size: 16
seed: 33
distributed_type: sagemaker_data_parallel
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6885	0.53	5000	0.6532	0.7217	0.7217
0.6411	1.07	10000	0.6348	0.7319	0.7319
0.6057	1.6	15000	0.6186	0.7387	0.7387
0.5844	2.13	20000	0.6236	0.7449	0.7449
0.549	2.67	25000	0.6067	0.7476	0.7476

Framework versions

Transformers 4.12.3
Pytorch 1.9.1
Datasets 1.15.1
Tokenizers 0.10.3

作者:

Philipp Schmid

数据集大小:

519.11 MB