File size: 1,564 Bytes
45bf2b6
 
 
 
95105d0
45bf2b6
 
 
 
 
 
 
 
 
 
dc6b747
45bf2b6
dc6b747
 
45bf2b6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dc6b747
45bf2b6
 
 
 
 
 
dc6b747
45bf2b6
 
 
 
 
 
 
 
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
---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: tszocinski/bart-base-squad-question-generation
model-index:
- name: tszocinski/bart-base-squad-question-generation
  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. -->

# tszocinski/bart-base-squad-question-generation

This model is a fine-tuned version of [tszocinski/bart-base-squad-question-generation](https://huggingface.co/tszocinski/bart-base-squad-question-generation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 6.5656
- Validation Loss: 11.1958
- Epoch: 0

## 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: {'inner_optimizer': {'class_name': 'RMSprop', 'config': {'name': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 6.5656     | 11.1958         | 0     |


### Framework versions

- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1