twitter-roberta-base-sentiment_token_itr0_2e-05_all_01_03_2022-04_19_45

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2858
• Precision: 0.3206
• Recall: 0.4721
• F1: 0.3819
• Accuracy: 0.8762

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	30	0.3772	0.0269	0.0326	0.0294	0.8143
No log	2.0	60	0.3052	0.2015	0.3596	0.2583	0.8537
No log	3.0	90	0.2937	0.2737	0.4273	0.3337	0.8722
No log	4.0	120	0.2852	0.2728	0.4348	0.3353	0.8750
No log	5.0	150	0.2676	0.2851	0.4474	0.3483	0.8797

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.1+cu113
• Datasets 1.18.0
• Tokenizers 0.10.3