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xtremedistil-l6-h256-uncased-eng-only-sentiment-single-finetuned-memes
This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3513
- Accuracy: 0.8555
- Precision: 0.8706
- Recall: 0.8697
- F1: 0.8699
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: 5e-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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 378 | 0.3579 | 0.8526 | 0.8685 | 0.8667 | 0.8674 |
| 0.4989 | 2.0 | 756 | 0.3368 | 0.8503 | 0.8665 | 0.8650 | 0.8645 |
| 0.3318 | 3.0 | 1134 | 0.3379 | 0.8533 | 0.8693 | 0.8675 | 0.8678 |
| 0.279 | 4.0 | 1512 | 0.3426 | 0.8555 | 0.8712 | 0.8698 | 0.8696 |
| 0.279 | 5.0 | 1890 | 0.3495 | 0.8555 | 0.8717 | 0.8698 | 0.8698 |
| 0.2471 | 6.0 | 2268 | 0.3513 | 0.8555 | 0.8706 | 0.8697 | 0.8699 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1
