DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_french_second_train_set_NULL_True

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

• Loss: 0.4024
• Precision: 0.8643
• Recall: 0.9769
• F1: 0.9171
• Accuracy: 0.8594

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: 1e-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	130	0.4920	0.7766	1.0	0.8742	0.7766
No log	2.0	260	0.4469	0.7885	1.0	0.8818	0.7918
No log	3.0	390	0.3860	0.8248	0.9860	0.8982	0.8265
0.462	4.0	520	0.3948	0.8441	0.9832	0.9084	0.8460
0.462	5.0	650	0.3694	0.8632	0.9693	0.9132	0.8568

Framework versions

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