metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/wanderwise_summary_1
results: []
arthd24/wanderwise_summary_1
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7830
- Validation Loss: 0.6959
- Train Rouge1: 0.353
- Train Rouge2: 0.2719
- Train Rougel: 0.335
- Train Rougelsum: 0.3351
- Train Gen Len: 19.0
- Epoch: 4
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': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 1.0492 | 0.7886 | 0.35 | 0.269 | 0.3321 | 0.3319 | 19.0 | 0 |
| 0.8843 | 0.7467 | 0.3511 | 0.2697 | 0.333 | 0.3326 | 19.0 | 1 |
| 0.8329 | 0.7228 | 0.3521 | 0.2707 | 0.3339 | 0.3337 | 19.0 | 2 |
| 0.8078 | 0.7143 | 0.3519 | 0.271 | 0.334 | 0.3338 | 19.0 | 3 |
| 0.7830 | 0.6959 | 0.353 | 0.2719 | 0.335 | 0.3351 | 19.0 | 4 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0