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finetuned_sentence_itr0_0.0002_webDiscourse_27_02_2022-19_25_06
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: 0.5777
- Accuracy: 0.6794
- F1: 0.5010
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: 0.0002
- 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 | 0.6059 | 0.63 | 0.4932 |
No log | 2.0 | 96 | 0.6327 | 0.705 | 0.5630 |
No log | 3.0 | 144 | 0.7003 | 0.695 | 0.5197 |
No log | 4.0 | 192 | 0.9368 | 0.69 | 0.4655 |
No log | 5.0 | 240 | 1.1935 | 0.685 | 0.4425 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3