File size: 1,750 Bytes
622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 ec56f19 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 622dfee 7d0b3f2 ec56f19 622dfee 7d0b3f2 622dfee 7d0b3f2 |
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 |
---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_Bourse2
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. -->
# Bert_Bourse2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: nan
- Validation Loss: nan
- Epoch: 9
## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 8.4168 | 8.5456 | 0 |
| 8.0364 | 8.5354 | 1 |
| 7.9995 | 8.5982 | 2 |
| nan | nan | 3 |
| nan | nan | 4 |
| nan | nan | 5 |
| nan | nan | 6 |
| nan | nan | 7 |
| nan | nan | 8 |
| nan | nan | 9 |
### Framework versions
- Transformers 4.42.0.dev0
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|