File size: 1,459 Bytes
beb8ffb
 
5cd93b7
 
 
 
 
beb8ffb
 
5cd93b7
 
beb8ffb
5cd93b7
beb8ffb
5cd93b7
 
 
 
 
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
beb8ffb
5cd93b7
 
 
beb8ffb
5cd93b7
beb8ffb
5cd93b7
 
 
 
beb8ffb
 
5cd93b7
beb8ffb
5cd93b7
 
 
 
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
---
library_name: transformers
tags:
- generated_from_keras_callback
model-index:
- name: Bert_Bourse_new
  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_Bourse_new

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: 6.6190
- Validation Loss: 6.6945
- Epoch: 1

## 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': 1.0, '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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.0902     | 6.8328          | 0     |
| 6.6190     | 6.6945          | 1     |


### Framework versions

- Transformers 4.46.0.dev0
- TensorFlow 2.17.0
- Datasets 3.0.1
- Tokenizers 0.20.1