Edit model card

Hyperparameters:

  • learning rate: 2e-5
  • weight decay: 0.01
  • per_device_train_batch_size: 8
  • per_device_eval_batch_size: 8
  • gradient_accumulation_steps:1
  • eval steps: 24000
  • max_length: 512
  • num_epochs: 2
  • hidden_dropout_prob: 0.3
  • attention_probs_dropout_prob: 0.25

Dataset version:

  • taskydata/10xp3nirstbbflanse_5xc4

Checkpoint:

  • 48000 steps

Results on Validation set:

Step Training Loss Validation Loss Accuracy Precision Recall F1
24000 0.052000 0.071572 0.988261 0.999752 0.987852 0.993767
48000 0.015100 0.026952 0.995925 0.999564 0.996132 0.997846

Wandb logs:

Downloads last month
12
Safetensors
Model size
184M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train taskydata/deberta-v3-base_10xp3nirstbbflanse_5xc4