File size: 2,108 Bytes
f623f30
 
4864589
f623f30
 
 
 
 
 
 
 
 
 
 
 
 
 
4864589
f623f30
4864589
 
 
f623f30
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4864589
f623f30
 
 
 
4864589
 
 
 
 
 
 
 
 
 
 
 
f623f30
 
 
 
4864589
 
f623f30
 
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
---
license: apache-2.0
base_model: drewcurran/translation_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_model
  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. -->

# translation_model

This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co/drewcurran/translation_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9529
- Bleu: 1.2244
- Gen Len: 18.0659

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.5538        | 1.0   | 4674  | 2.2471          | 0.7389 | 18.1428 |
| 2.4606        | 2.0   | 9348  | 2.1615          | 0.8787 | 18.1105 |
| 2.3877        | 3.0   | 14022 | 2.0981          | 0.963  | 18.0917 |
| 2.3433        | 4.0   | 18696 | 2.0538          | 1.0353 | 18.0855 |
| 2.2914        | 5.0   | 23370 | 2.0186          | 1.0902 | 18.0692 |
| 2.2565        | 6.0   | 28044 | 1.9939          | 1.1566 | 18.0789 |
| 2.2539        | 7.0   | 32718 | 1.9756          | 1.1935 | 18.0686 |
| 2.2262        | 8.0   | 37392 | 1.9628          | 1.1998 | 18.0759 |
| 2.2097        | 9.0   | 42066 | 1.9556          | 1.2209 | 18.0706 |
| 2.2021        | 10.0  | 46740 | 1.9529          | 1.2244 | 18.0659 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1