metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: Basic
results: []
Basic
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5642
- eval_Accuracy: 0.9088
- eval_F1_macro: 0.8595
- eval_F1_class_0: 0.9256
- eval_F1_class_1: 0.7500
- eval_F1_class_2: 0.9352
- eval_F1_class_3: 0.8421
- eval_F1_class_4: 0.8511
- eval_F1_class_5: 0.9434
- eval_F1_class_6: 0.8519
- eval_F1_class_7: 0.9663
- eval_F1_class_8: 1.0
- eval_F1_class_9: 0.8276
- eval_F1_class_10: 0.8938
- eval_F1_class_11: 0.8333
- eval_F1_class_12: 0.8144
- eval_F1_class_13: 0.8889
- eval_F1_class_14: 0.8514
- eval_F1_class_15: 0.6875
- eval_F1_class_16: 0.5
- eval_F1_class_17: 0.9817
- eval_F1_class_18: 0.9231
- eval_F1_class_19: 0.9231
- eval_runtime: 17.7941
- eval_samples_per_second: 63.504
- eval_steps_per_second: 3.99
- epoch: 2.0
- step: 6500
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3