This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9763
Accuracy: 0.67

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=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.5281	0.1	500	1.4426
1.3849	0.2	1000	1.3289
1.2785	0.3	1500	1.2364
1.2415	0.4	2000	1.2403
1.2113	0.5	2500	1.1924
1.1661	0.6	3000	1.2096
1.1283	0.7	3500	1.1103
1.1176	0.8	4000	1.0909
1.1048	0.9	4500	1.0933
1.0746	1.0	5000	1.0432
0.9869	1.1	5500	1.1254
0.9895	1.2	6000	1.0309
0.987	1.3	6500	1.0326
0.9618	1.4	7000	1.0184
0.9626	1.5	7500	1.0095
0.964	1.6	8000	1.0016
0.9484	1.7	8500	0.9964
0.9395	1.8	9000	0.9933
0.9247	1.9	9500	0.9849
0.9402	2.0	10000	0.9763

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

MatthiasGTZ/FineTuned_NewAmazonReview

FineTuned_NewAmazonReview

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MatthiasGTZ/
FineTuned_NewAmazonReview