File size: 1,783 Bytes
836fb1d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
63
64
65
66
67
---
tags:
- generated_from_keras_callback
model-index:
- name: distilgpt_new3_0015
  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. -->

# distilgpt_new3_0015

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5302
- Validation Loss: 2.4153
- Epoch: 14

## 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 |
|:----------:|:---------------:|:-----:|
| 2.5407     | 2.4254          | 0     |
| 2.5399     | 2.4247          | 1     |
| 2.5391     | 2.4238          | 2     |
| 2.5383     | 2.4232          | 3     |
| 2.5375     | 2.4210          | 4     |
| 2.5368     | 2.4210          | 5     |
| 2.5361     | 2.4197          | 6     |
| 2.5353     | 2.4193          | 7     |
| 2.5345     | 2.4191          | 8     |
| 2.5339     | 2.4177          | 9     |
| 2.5332     | 2.4188          | 10    |
| 2.5324     | 2.4160          | 11    |
| 2.5317     | 2.4164          | 12    |
| 2.5309     | 2.4145          | 13    |
| 2.5302     | 2.4153          | 14    |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1