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twitter_ft_model – AI Model by Shreyas1 | AlphaNeural AI
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Shreyas1
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twitter_ft_model
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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twitter_ft_model
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2491
Accuracy: 0.8997
F1: 0.9048
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: 4e-05
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5287
0.2020
79
0.2491
0.8997
0.9048
0.3594
0.4041
158
0.2736
0.8747
0.8780
0.3413
0.6061
237
0.2789
0.8774
0.8804
0.3327
0.8082
316
0.2730
0.8774
0.8824
Framework versions
Transformers 4.57.3
Pytorch 2.8.0+cu128
Datasets 4.4.2
Tokenizers 0.22.1
