metadata
base_model: Eliac11/tinkNLP
tags:
- generated_from_keras_callback
model-index:
- name: Eliac11/FitModelKTP
results: []
Eliac11/FitModelKTP
This model is a fine-tuned version of Eliac11/tinkNLP on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.5480
- Validation Loss: 3.4985
- Epoch: 7
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.005}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.9625 | 4.0902 | 0 |
| 3.7233 | 3.9629 | 1 |
| 3.5004 | 3.8605 | 2 |
| 3.2832 | 3.7674 | 3 |
| 3.0715 | 3.7121 | 4 |
| 2.8942 | 3.6216 | 5 |
| 2.7196 | 3.5805 | 6 |
| 2.5480 | 3.4985 | 7 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2