metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuned_sentence_itr0_2e-05_webDiscourse_27_02_2022-19_22_29
results: []
finetuned_sentence_itr0_2e-05_webDiscourse_27_02_2022-19_22_29
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5819
- Accuracy: 0.7058
- F1: 0.4267
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 48 | 0.6110 | 0.665 | 0.0 |
No log | 2.0 | 96 | 0.5706 | 0.685 | 0.2588 |
No log | 3.0 | 144 | 0.5484 | 0.725 | 0.5299 |
No log | 4.0 | 192 | 0.5585 | 0.71 | 0.4727 |
No log | 5.0 | 240 | 0.5616 | 0.725 | 0.5133 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3