Hugging Face's logo

Tanor
/
BERTicSENTPOS4

Text Classification
Transformers
PyTorch
Safetensors
electra
Generated from Trainer
Model card Files Community
BERTicSENTPOS4 / README.md
Tanor's picture
Tanor
End of training
d5dda35 verified
preview code
|
raw
history blame contribute delete
1.71 kB
metadata
license: apache-2.0
base_model: Tanor/BERTicSENTPOS4
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: BERTicSENTPOS4
    results: []

BERTicSENTPOS4

This model is a fine-tuned version of Tanor/BERTicSENTPOS4 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0806
  • F1: 0.2581

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: 64
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 32

Training results

Training Loss Epoch Step Validation Loss F1
No log 0.9843 47 0.0434 0.3333
No log 1.9895 95 0.0433 0.5238
No log 2.9948 143 0.0540 0.5490
No log 4.0 191 0.0566 0.5
No log 4.9843 238 0.0806 0.2581

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.2
  • Datasets 2.19.0
  • Tokenizers 0.19.1