File size: 1,821 Bytes
6b55dc6 8c6460f 6b55dc6 5688bde 6b55dc6 abfeca3 1d8cf06 8c6460f 6b55dc6 |
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-small
tags:
- generated_from_keras_callback
model-index:
- name: hasan-mr/t5-small-finetuned-billsum
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. -->
# hasan-mr/t5-small-finetuned-billsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5664
- Validation Loss: 2.3959
- Train Rougel: tf.Tensor(0.13483551, shape=(), dtype=float32)
- 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: mixed_float16
### Training results
| Train Loss | Validation Loss | Train Rougel | Epoch |
|:----------:|:---------------:|:-----------------------------------------------:|:-----:|
| 3.3640 | 2.7289 | tf.Tensor(0.10619231, shape=(), dtype=float32) | 0 |
| 2.8132 | 2.5456 | tf.Tensor(0.110547036, shape=(), dtype=float32) | 1 |
| 2.6567 | 2.4510 | tf.Tensor(0.12525052, shape=(), dtype=float32) | 2 |
| 2.5664 | 2.3959 | tf.Tensor(0.13483551, shape=(), dtype=float32) | 3 |
### Framework versions
- Transformers 4.34.0
- TensorFlow 2.14.0
- Datasets 2.14.5
- Tokenizers 0.14.1
|