twitter-roberta-base-sentiment-latest_23122024T153827

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

• Loss: 0.9322
• F1: 0.6534
• Learning Rate: 0.0

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 200
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Rate
No log	0.9984	320	0.9409	0.6023	0.0000
1.1208	2.0	641	0.9499	0.6228	0.0000
1.1208	2.9984	961	0.9322	0.6534	0.0000
0.6642	4.0	1282	0.9842	0.6698	0.0000
0.4279	4.9922	1600	1.0078	0.6679	0.0

Framework versions

• Transformers 4.46.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.20.3