File size: 2,344 Bytes
ec889f5 87592c5 ec889f5 d9cec81 5a938bc d69502a 059776a 87592c5 ec889f5 |
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 60 61 62 63 64 65 66 |
---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/ext_abs_t5small
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. -->
# arthd24/ext_abs_t5small
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: 3.1939
- Validation Loss: 3.0679
- Train Rouge1: 0.4006
- Train Rouge2: 0.1457
- Train Rougel: 0.2419
- Train Rougelsum: 0.242
- Train Bertscore F1: 0.6168
- Train Gen Len: 240.9263
- 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 Bertscore F1 | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:------------------:|:-------------:|:-----:|
| 3.3096 | 3.1447 | 0.3986 | 0.1493 | 0.2359 | 0.2366 | 0.6148 | 238.5368 | 0 |
| 3.2719 | 3.1231 | 0.3898 | 0.1414 | 0.2306 | 0.231 | 0.6069 | 239.7053 | 1 |
| 3.2477 | 3.0994 | 0.3885 | 0.1403 | 0.2293 | 0.2293 | 0.6094 | 241.9368 | 2 |
| 3.2166 | 3.0848 | 0.3972 | 0.1458 | 0.234 | 0.2339 | 0.6136 | 239.5474 | 3 |
| 3.1939 | 3.0679 | 0.4006 | 0.1457 | 0.2419 | 0.242 | 0.6168 | 240.9263 | 4 |
### Framework versions
- Transformers 4.46.3
- TensorFlow 2.16.1
- Datasets 3.1.0
- Tokenizers 0.20.0
|