|
--- |
|
license: apache-2.0 |
|
base_model: t5-base |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: CapitainData/dyu-fr-t5-base_v3 |
|
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. --> |
|
|
|
# CapitainData/dyu-fr-t5-base_v3 |
|
|
|
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: 0.7905 |
|
- Validation Loss: 2.9103 |
|
- Epoch: 78 |
|
|
|
## 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 | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 3.3233 | 2.8819 | 0 | |
|
| 3.0679 | 2.7736 | 1 | |
|
| 2.9557 | 2.7031 | 2 | |
|
| 2.8537 | 2.6517 | 3 | |
|
| 2.7672 | 2.6141 | 4 | |
|
| 2.6959 | 2.5790 | 5 | |
|
| 2.6234 | 2.5559 | 6 | |
|
| 2.5663 | 2.5288 | 7 | |
|
| 2.5025 | 2.5099 | 8 | |
|
| 2.4535 | 2.4976 | 9 | |
|
| 2.3996 | 2.4791 | 10 | |
|
| 2.3570 | 2.4646 | 11 | |
|
| 2.3096 | 2.4504 | 12 | |
|
| 2.2604 | 2.4454 | 13 | |
|
| 2.2212 | 2.4427 | 14 | |
|
| 2.1817 | 2.4356 | 15 | |
|
| 2.1437 | 2.4339 | 16 | |
|
| 2.1022 | 2.4223 | 17 | |
|
| 2.0667 | 2.4204 | 18 | |
|
| 2.0382 | 2.4182 | 19 | |
|
| 1.9938 | 2.4242 | 20 | |
|
| 1.9631 | 2.4265 | 21 | |
|
| 1.9289 | 2.4125 | 22 | |
|
| 1.8995 | 2.4177 | 23 | |
|
| 1.8716 | 2.4195 | 24 | |
|
| 1.8402 | 2.4214 | 25 | |
|
| 1.8068 | 2.4280 | 26 | |
|
| 1.7809 | 2.4226 | 27 | |
|
| 1.7446 | 2.4455 | 28 | |
|
| 1.7253 | 2.4453 | 29 | |
|
| 1.6978 | 2.4497 | 30 | |
|
| 1.6735 | 2.4501 | 31 | |
|
| 1.6427 | 2.4633 | 32 | |
|
| 1.6168 | 2.4633 | 33 | |
|
| 1.5921 | 2.4670 | 34 | |
|
| 1.5688 | 2.4659 | 35 | |
|
| 1.5417 | 2.4874 | 36 | |
|
| 1.5189 | 2.4790 | 37 | |
|
| 1.4963 | 2.4961 | 38 | |
|
| 1.4715 | 2.4951 | 39 | |
|
| 1.4486 | 2.5063 | 40 | |
|
| 1.4263 | 2.5078 | 41 | |
|
| 1.4068 | 2.5306 | 42 | |
|
| 1.3814 | 2.5477 | 43 | |
|
| 1.3645 | 2.5501 | 44 | |
|
| 1.3394 | 2.5548 | 45 | |
|
| 1.3223 | 2.5493 | 46 | |
|
| 1.3060 | 2.5572 | 47 | |
|
| 1.2850 | 2.6033 | 48 | |
|
| 1.2566 | 2.5900 | 49 | |
|
| 1.2426 | 2.6090 | 50 | |
|
| 1.2266 | 2.6152 | 51 | |
|
| 1.2067 | 2.6252 | 52 | |
|
| 1.1842 | 2.6435 | 53 | |
|
| 1.1680 | 2.6481 | 54 | |
|
| 1.1476 | 2.6438 | 55 | |
|
| 1.1295 | 2.6559 | 56 | |
|
| 1.1128 | 2.6910 | 57 | |
|
| 1.1000 | 2.6722 | 58 | |
|
| 1.0787 | 2.6840 | 59 | |
|
| 1.0636 | 2.7139 | 60 | |
|
| 1.0425 | 2.7218 | 61 | |
|
| 1.0298 | 2.7196 | 62 | |
|
| 1.0150 | 2.7374 | 63 | |
|
| 0.9989 | 2.7367 | 64 | |
|
| 0.9811 | 2.7660 | 65 | |
|
| 0.9674 | 2.7741 | 66 | |
|
| 0.9490 | 2.7701 | 67 | |
|
| 0.9322 | 2.7856 | 68 | |
|
| 0.9197 | 2.7829 | 69 | |
|
| 0.9010 | 2.8053 | 70 | |
|
| 0.8894 | 2.8119 | 71 | |
|
| 0.8732 | 2.8408 | 72 | |
|
| 0.8597 | 2.8401 | 73 | |
|
| 0.8404 | 2.8706 | 74 | |
|
| 0.8317 | 2.8872 | 75 | |
|
| 0.8204 | 2.8772 | 76 | |
|
| 0.8083 | 2.8962 | 77 | |
|
| 0.7905 | 2.9103 | 78 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- TensorFlow 2.16.1 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
