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finetuned_token_itr0_2e-05_all_16_02_2022-20_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: 0.1778
- Precision: 0.3270
- Recall: 0.3348
- F1: 0.3309
- Accuracy: 0.9439
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 | 38 | 0.4023 | 0.1050 | 0.2331 | 0.1448 | 0.8121 |
No log | 2.0 | 76 | 0.3629 | 0.1856 | 0.3414 | 0.2405 | 0.8368 |
No log | 3.0 | 114 | 0.3329 | 0.1794 | 0.3594 | 0.2394 | 0.8504 |
No log | 4.0 | 152 | 0.3261 | 0.1786 | 0.3684 | 0.2405 | 0.8503 |
No log | 5.0 | 190 | 0.3244 | 0.1872 | 0.3684 | 0.2482 | 0.8534 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3