metadata

base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: twitter-roberta-base-sentiment-latest
    results: []

twitter-roberta-base-sentiment-latest

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3302
Accuracy: 0.784

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
lr_scheduler_warmup_steps: 600
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8113	0.12	30	0.7971	0.418
0.6733	0.24	60	0.6551	0.469
0.5712	0.36	90	0.5713	0.522
0.5234	0.48	120	0.5311	0.565
0.5406	0.6	150	0.4938	0.6595
0.4856	0.72	180	0.4482	0.692
0.4732	0.84	210	0.4147	0.7185
0.4217	0.96	240	0.4038	0.726
0.4097	1.08	270	0.3828	0.7375
0.3911	1.2	300	0.3928	0.735
0.3779	1.32	330	0.3767	0.7555
0.3829	1.44	360	0.3705	0.74
0.3596	1.56	390	0.3905	0.744
0.3626	1.68	420	0.3712	0.7425
0.3763	1.8	450	0.3679	0.752
0.3722	1.92	480	0.3353	0.7805
0.3387	2.04	510	0.3504	0.768
0.3247	2.16	540	0.3573	0.766
0.3242	2.28	570	0.3526	0.7775
0.4003	2.4	600	0.3413	0.7785
0.352	2.52	630	0.3547	0.763
0.3521	2.64	660	0.3449	0.7835
0.29	2.76	690	0.3270	0.7875
0.3017	2.88	720	0.3302	0.784
0.3086	3.0	750	0.3401	0.782

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1