File size: 2,137 Bytes
4f35ba0 |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: byt5-small-wikipron-eng-latn-uk-broad-ft-au-broad
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-small-wikipron-eng-latn-uk-broad-ft-au-broad
This model is a fine-tuned version of [bookbot/byt5-small-wikipron-eng-latn-uk-broad](https://huggingface.co/bookbot/byt5-small-wikipron-eng-latn-uk-broad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1618
- Per: 0.3076
- Gen Len: 16.2858
## 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: 0.0002
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 0.4971 | 1.0 | 243 | 0.1686 | 0.3211 | 16.2676 |
| 0.1917 | 2.0 | 486 | 0.1600 | 0.3119 | 16.2638 |
| 0.1713 | 3.0 | 729 | 0.1578 | 0.3129 | 16.2714 |
| 0.1583 | 4.0 | 972 | 0.1576 | 0.3095 | 16.2768 |
| 0.1496 | 5.0 | 1215 | 0.1572 | 0.3107 | 16.2721 |
| 0.1413 | 6.0 | 1458 | 0.1592 | 0.3096 | 16.2676 |
| 0.1356 | 7.0 | 1701 | 0.1592 | 0.3094 | 16.2773 |
| 0.1301 | 8.0 | 1944 | 0.1592 | 0.3084 | 16.2771 |
| 0.1261 | 9.0 | 2187 | 0.1605 | 0.3076 | 16.2816 |
| 0.123 | 10.0 | 2430 | 0.1618 | 0.3076 | 16.2858 |
### Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2
|