Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
tweet_eval-sentiment-finetuned – AI Model by deepgai | AlphaNeural AI
You can deploy this model and start earning money today!
deepgai
/
tweet_eval-sentiment-finetuned
like
0
transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
tweet_eval
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
tweet_eval-sentiment-finetuned
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the Tweet_Eval dataset. It achieves the following results on the evaluation set:
Loss: 0.6532
Accuracy: 0.744
F1: 0.7437
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: 3e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7491
1.0
357
0.6089
0.7345
0.7314
0.5516
2.0
714
0.5958
0.751
0.7516
0.4618
3.0
1071
0.6131
0.748
0.7487
0.4066
4.0
1428
0.6532
0.744
0.7437
Framework versions
Transformers 4.18.0
Pytorch 1.9.1
Datasets 2.1.0
Tokenizers 0.12.1
