distilbert-base-uncased-finetuned-nlp-course
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9700
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 6.1367 |
| No log | 2.0 | 2 | 6.1052 |
| No log | 3.0 | 3 | 6.0768 |
| No log | 4.0 | 4 | 6.0514 |
| No log | 5.0 | 5 | 6.0290 |
| No log | 6.0 | 6 | 6.0098 |
| No log | 7.0 | 7 | 5.9941 |
| No log | 8.0 | 8 | 5.9821 |
| No log | 9.0 | 9 | 5.9740 |
| No log | 10.0 | 10 | 5.9700 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for hanspeterlyngsoeraaschoujensen/distilbert-base-uncased-finetuned-nlp-course
Base model
distilbert/distilbert-base-uncased