metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- versae/modernisa
metrics:
- bleu
base_model: google/byt5-base
model-index:
- name: byt5-base-finetuned-modernisa
results: []
byt5-base-finetuned-modernisa
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1176
- Bleu: 44.888
- Gen Len: 18.4465
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.1474 | 0.35 | 10000 | 0.1360 | 42.8789 | 18.4441 |
| 0.1328 | 0.71 | 20000 | 0.1303 | 43.5394 | 18.4368 |
| 0.1216 | 1.06 | 30000 | 0.1245 | 44.1557 | 18.4384 |
| 0.1167 | 1.42 | 40000 | 0.1219 | 44.1961 | 18.4449 |
| 0.1065 | 1.77 | 50000 | 0.1192 | 44.7353 | 18.443 |
| 0.099 | 2.13 | 60000 | 0.1195 | 44.522 | 18.4524 |
| 0.088 | 2.48 | 70000 | 0.1192 | 44.8243 | 18.4441 |
| 0.0907 | 2.84 | 80000 | 0.1176 | 44.888 | 18.4465 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3