File size: 1,537 Bytes
d224f63 dc0d16c d224f63 dc0d16c d224f63 23c6511 5dbe4e0 dc0d16c d224f63 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: j-gc/T5-BASE_Model_News_Summarization
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# j-gc/T5-BASE_Model_News_Summarization
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4340
- Validation Loss: 1.2628
- Train Lr: 2e-05
- Epoch: 3
## 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 Lr | Epoch |
|:----------:|:---------------:|:--------:|:-----:|
| 1.4772 | 1.2804 | 2e-05 | 0 |
| 1.4433 | 1.2744 | 2e-05 | 1 |
| 1.4417 | 1.2696 | 2e-05 | 2 |
| 1.4340 | 1.2628 | 2e-05 | 3 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
|