---
license: apache-2.0
base_model: google/byt5-small
tags:
- generated_from_trainer
model-index:
- name: byt5_3k_4d
  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_3k_4d

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0348

## 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: 800
- eval_batch_size: 800
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 0.4702          |
| No log        | 2.0   | 8    | 0.4366          |
| 0.8301        | 3.0   | 12   | 0.4202          |
| 0.8301        | 4.0   | 16   | 0.3843          |
| 0.7703        | 5.0   | 20   | 0.3898          |
| 0.7703        | 6.0   | 24   | 0.3573          |
| 0.7703        | 7.0   | 28   | 0.3422          |
| 0.7169        | 8.0   | 32   | 0.3304          |
| 0.7169        | 9.0   | 36   | 0.3049          |
| 0.6727        | 10.0  | 40   | 0.3067          |
| 0.6727        | 11.0  | 44   | 0.2965          |
| 0.6727        | 12.0  | 48   | 0.2693          |
| 0.6394        | 13.0  | 52   | 0.2711          |
| 0.6394        | 14.0  | 56   | 0.2561          |
| 0.6047        | 15.0  | 60   | 0.2454          |
| 0.6047        | 16.0  | 64   | 0.2368          |
| 0.6047        | 17.0  | 68   | 0.2250          |
| 0.565         | 18.0  | 72   | 0.2110          |
| 0.565         | 19.0  | 76   | 0.2109          |
| 0.5368        | 20.0  | 80   | 0.1950          |
| 0.5368        | 21.0  | 84   | 0.1974          |
| 0.5368        | 22.0  | 88   | 0.1819          |
| 0.518         | 23.0  | 92   | 0.1795          |
| 0.518         | 24.0  | 96   | 0.1648          |
| 0.4862        | 25.0  | 100  | 0.1675          |
| 0.4862        | 26.0  | 104  | 0.1550          |
| 0.4862        | 27.0  | 108  | 0.1530          |
| 0.4628        | 28.0  | 112  | 0.1447          |
| 0.4628        | 29.0  | 116  | 0.1442          |
| 0.4408        | 30.0  | 120  | 0.1310          |
| 0.4408        | 31.0  | 124  | 0.1336          |
| 0.4408        | 32.0  | 128  | 0.1235          |
| 0.4192        | 33.0  | 132  | 0.1191          |
| 0.4192        | 34.0  | 136  | 0.1193          |
| 0.4133        | 35.0  | 140  | 0.1123          |
| 0.4133        | 36.0  | 144  | 0.1156          |
| 0.4133        | 37.0  | 148  | 0.1051          |
| 0.3922        | 38.0  | 152  | 0.0999          |
| 0.3922        | 39.0  | 156  | 0.0991          |
| 0.3778        | 40.0  | 160  | 0.0995          |
| 0.3778        | 41.0  | 164  | 0.0912          |
| 0.3778        | 42.0  | 168  | 0.0903          |
| 0.3655        | 43.0  | 172  | 0.0841          |
| 0.3655        | 44.0  | 176  | 0.0790          |
| 0.3526        | 45.0  | 180  | 0.0827          |
| 0.3526        | 46.0  | 184  | 0.0756          |
| 0.3526        | 47.0  | 188  | 0.0747          |
| 0.3378        | 48.0  | 192  | 0.0737          |
| 0.3378        | 49.0  | 196  | 0.0747          |
| 0.3308        | 50.0  | 200  | 0.0729          |
| 0.3308        | 51.0  | 204  | 0.0665          |
| 0.3308        | 52.0  | 208  | 0.0663          |
| 0.321         | 53.0  | 212  | 0.0642          |
| 0.321         | 54.0  | 216  | 0.0640          |
| 0.3084        | 55.0  | 220  | 0.0632          |
| 0.3084        | 56.0  | 224  | 0.0599          |
| 0.3084        | 57.0  | 228  | 0.0580          |
| 0.2967        | 58.0  | 232  | 0.0567          |
| 0.2967        | 59.0  | 236  | 0.0525          |
| 0.2928        | 60.0  | 240  | 0.0522          |
| 0.2928        | 61.0  | 244  | 0.0536          |
| 0.2928        | 62.0  | 248  | 0.0524          |
| 0.2929        | 63.0  | 252  | 0.0568          |
| 0.2929        | 64.0  | 256  | 0.0530          |
| 0.283         | 65.0  | 260  | 0.0476          |
| 0.283         | 66.0  | 264  | 0.0479          |
| 0.283         | 67.0  | 268  | 0.0507          |
| 0.2766        | 68.0  | 272  | 0.0461          |
| 0.2766        | 69.0  | 276  | 0.0444          |
| 0.2677        | 70.0  | 280  | 0.0456          |
| 0.2677        | 71.0  | 284  | 0.0437          |
| 0.2677        | 72.0  | 288  | 0.0428          |
| 0.2614        | 73.0  | 292  | 0.0419          |
| 0.2614        | 74.0  | 296  | 0.0414          |
| 0.2595        | 75.0  | 300  | 0.0418          |
| 0.2595        | 76.0  | 304  | 0.0412          |
| 0.2595        | 77.0  | 308  | 0.0396          |
| 0.2582        | 78.0  | 312  | 0.0382          |
| 0.2582        | 79.0  | 316  | 0.0381          |
| 0.2511        | 80.0  | 320  | 0.0387          |
| 0.2511        | 81.0  | 324  | 0.0388          |
| 0.2511        | 82.0  | 328  | 0.0372          |
| 0.2481        | 83.0  | 332  | 0.0360          |
| 0.2481        | 84.0  | 336  | 0.0366          |
| 0.2474        | 85.0  | 340  | 0.0365          |
| 0.2474        | 86.0  | 344  | 0.0357          |
| 0.2474        | 87.0  | 348  | 0.0355          |
| 0.2537        | 88.0  | 352  | 0.0360          |
| 0.2537        | 89.0  | 356  | 0.0359          |
| 0.2438        | 90.0  | 360  | 0.0355          |
| 0.2438        | 91.0  | 364  | 0.0353          |
| 0.2438        | 92.0  | 368  | 0.0349          |
| 0.2461        | 93.0  | 372  | 0.0343          |
| 0.2461        | 94.0  | 376  | 0.0342          |
| 0.2395        | 95.0  | 380  | 0.0344          |
| 0.2395        | 96.0  | 384  | 0.0347          |
| 0.2395        | 97.0  | 388  | 0.0350          |
| 0.2439        | 98.0  | 392  | 0.0349          |
| 0.2439        | 99.0  | 396  | 0.0348          |
| 0.2432        | 100.0 | 400  | 0.0348          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2