File size: 2,091 Bytes
2e7e343
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
68
69
70
71
72
73
---
tags:
- generated_from_trainer
model-index:
- name: zlm-fil-ceb_b64_le5_s8000
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# zlm-fil-ceb_b64_le5_s8000

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4134

## 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:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4019        | 21.7391  | 500  | 0.4143          |
| 0.4064        | 43.4783  | 1000 | 0.4132          |
| 0.4034        | 65.2174  | 1500 | 0.4122          |
| 0.3985        | 86.9565  | 2000 | 0.4148          |
| 0.396         | 108.6957 | 2500 | 0.4123          |
| 0.3958        | 130.4348 | 3000 | 0.4139          |
| 0.3928        | 152.1739 | 3500 | 0.4132          |
| 0.3914        | 173.9130 | 4000 | 0.4139          |
| 0.3916        | 195.6522 | 4500 | 0.4123          |
| 0.3919        | 217.3913 | 5000 | 0.4122          |
| 0.3844        | 239.1304 | 5500 | 0.4126          |
| 0.3908        | 260.8696 | 6000 | 0.4137          |
| 0.3854        | 282.6087 | 6500 | 0.4133          |
| 0.3885        | 304.3478 | 7000 | 0.4140          |
| 0.3849        | 326.0870 | 7500 | 0.4143          |
| 0.386         | 347.8261 | 8000 | 0.4134          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1