File size: 1,989 Bytes
5ccbdac
 
 
 
5aa4bca
 
5ccbdac
 
 
 
 
 
 
 
 
 
 
5aa4bca
785571b
 
 
5ccbdac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
785571b
 
 
 
 
 
 
 
 
 
 
 
5ccbdac
 
 
 
 
 
 
 
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
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_kbh
  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. -->

# byt5-base-es_kbh

This model is a fine-tuned version of [google/byt5-base](https://huggingface.co./google/byt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7315
- Bleu: 0.1841
- Gen Len: 19.0

## 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:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 65
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 395  | 1.0572          | 0.0232 | 19.0    |
| 1.5347        | 2.0   | 790  | 0.9249          | 0.1035 | 19.0    |
| 1.0539        | 3.0   | 1185 | 0.8549          | 0.1313 | 19.0    |
| 0.9461        | 4.0   | 1580 | 0.8109          | 0.1392 | 19.0    |
| 0.9461        | 5.0   | 1975 | 0.7860          | 0.1545 | 19.0    |
| 0.8824        | 6.0   | 2370 | 0.7620          | 0.1756 | 19.0    |
| 0.8447        | 7.0   | 2765 | 0.7495          | 0.1705 | 19.0    |
| 0.814         | 8.0   | 3160 | 0.7384          | 0.14   | 19.0    |
| 0.8031        | 9.0   | 3555 | 0.7331          | 0.1807 | 19.0    |
| 0.8031        | 10.0  | 3950 | 0.7315          | 0.1841 | 19.0    |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3