metadata
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
calculator_model_test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7400
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: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- 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 |
---|---|---|---|
2.966 | 1.0 | 6 | 2.2765 |
2.0606 | 2.0 | 12 | 1.7855 |
1.6303 | 3.0 | 18 | 1.4249 |
1.2968 | 4.0 | 24 | 1.1742 |
1.1342 | 5.0 | 30 | 1.0421 |
0.9916 | 6.0 | 36 | 0.9159 |
0.8864 | 7.0 | 42 | 0.8410 |
0.8119 | 8.0 | 48 | 0.7857 |
0.7691 | 9.0 | 54 | 0.7509 |
0.7515 | 10.0 | 60 | 0.7400 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2