<!-- 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. -->
first-lstm-model
This model is a fine-tuned version of on the dummy-jsonlgz-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 1.0994
- Accuracy: 0.3315
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.0885 | 0.5 |
| No log | 2.0 | 2 | 1.0882 | 0.5 |
| No log | 3.0 | 3 | 1.0880 | 0.5 |
| No log | 4.0 | 4 | 1.0879 | 0.5 |
| No log | 5.0 | 5 | 1.0879 | 0.5 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
