File size: 2,195 Bytes
229a5b7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ebab994
229a5b7
ebab994
229a5b7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e813de0
28b726d
36e1388
ebab994
229a5b7
 
 
 
 
 
 
 
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
---
license: mit
base_model: badokorach/mobilebert-uncased-finetuned-agic-060124
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/minilm-uncased-squad2-agric-17024
  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. -->

# badokorach/minilm-uncased-squad2-agric-17024

This model is a fine-tuned version of [badokorach/mobilebert-uncased-finetuned-agic-060124](https://huggingface.co/badokorach/mobilebert-uncased-finetuned-agic-060124) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0258
- Validation Loss: 0.0
- 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: {'inner_optimizer': {'module': 'keras.optimizers', 'class_name': 'Adam', 'config': {'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': {'module': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 2736, 'warmup_steps': 304, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.9158     | 0.0             | 0     |
| 0.2937     | 0.0             | 1     |
| 0.0747     | 0.0             | 2     |
| 0.0398     | 0.0             | 3     |
| 0.0258     | 0.0             | 4     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2