File size: 2,114 Bytes
9ed67ef |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: byt5-small-wikipron-eng-latn-nz-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-nz-broad
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1880
- Per: 0.3259
- Gen Len: 16.3063
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.2173 | 1.0 | 235 | 0.3860 | 0.5095 | 15.7391 |
| 0.3895 | 2.0 | 470 | 0.2617 | 0.4065 | 16.1533 |
| 0.2907 | 3.0 | 705 | 0.2238 | 0.3594 | 16.2184 |
| 0.2479 | 4.0 | 941 | 0.2088 | 0.3451 | 16.2767 |
| 0.2274 | 5.0 | 1176 | 0.2000 | 0.3362 | 16.2672 |
| 0.2114 | 6.0 | 1411 | 0.1949 | 0.3366 | 16.3016 |
| 0.1997 | 7.0 | 1646 | 0.1935 | 0.3333 | 16.3086 |
| 0.1909 | 8.0 | 1882 | 0.1899 | 0.327 | 16.307 |
| 0.1854 | 9.0 | 2117 | 0.1882 | 0.3261 | 16.3109 |
| 0.1811 | 9.99 | 2350 | 0.1880 | 0.3259 | 16.3063 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|