<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
finetuned_token_itr0_2e-05_all_16_02_2022-21_08_55
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: 0.2853
- Precision: 0.1677
- Recall: 0.3106
- F1: 0.2178
- Accuracy: 0.8755
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: 32
- eval_batch_size: 32
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 30 | 0.3452 | 0.0526 | 0.1055 | 0.0702 | 0.8507 |
| No log | 2.0 | 60 | 0.2598 | 0.1575 | 0.2680 | 0.1984 | 0.8909 |
| No log | 3.0 | 90 | 0.2398 | 0.1866 | 0.2982 | 0.2295 | 0.9007 |
| No log | 4.0 | 120 | 0.2354 | 0.1949 | 0.3049 | 0.2378 | 0.9002 |
| No log | 5.0 | 150 | 0.2314 | 0.2026 | 0.3166 | 0.2471 | 0.9004 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
