Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli-strategy2-fold-4 – AI Model by sercetexam9 | AlphaNeural AI
You can deploy this model and start earning money today!
sercetexam9
/
roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli-strategy2-fold-4
like
0
transformers
safetensors
roberta
text-classification
generated_from_trainer
ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli
finetune
mit
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli-strategy2-fold-4
This model is a fine-tuned version of
ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5494
Accuracy: 0.8110
F1 Macro: 0.8114
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: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.6207
1.0
383
0.5912
0.7744
0.7757
0.4641
2.0
766
0.5494
0.8110
0.8114
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
