amazon_topical_chat_sentiment

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1237
• Accuracy: 0.5687

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-06
• 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: 14

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.199	1.0	9419	1.1807	0.5348
1.1383	2.0	18838	1.1487	0.5457
1.1036	3.0	28257	1.1368	0.5558
1.0971	4.0	37676	1.1226	0.5605
1.0679	5.0	47095	1.1223	0.5634
1.0528	6.0	56514	1.1156	0.5696
1.0245	7.0	65933	1.1158	0.5683
1.0279	8.0	75352	1.1140	0.5687
1.0152	9.0	84771	1.1127	0.5690
0.9794	10.0	94190	1.1179	0.5687
0.9717	11.0	103609	1.1200	0.5700
0.9654	12.0	113028	1.1223	0.5692
0.9703	13.0	122447	1.1232	0.5700
0.9545	14.0	131866	1.1237	0.5687

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0