Transformers
TensorBoard
Safetensors
Latin
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use AlbertY123/translator-en-la with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlbertY123/translator-en-la with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlbertY123/translator-en-la") model = AutoModelForSeq2SeqLM.from_pretrained("AlbertY123/translator-en-la") - Notebooks
- Google Colab
- Kaggle
translator-en-la
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4418
- Bleu: 0.1539
- Gen Len: 18.9122
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.8571 | 1.0 | 6209 | 3.5570 | 0.1362 | 18.9142 |
| 3.7162 | 2.0 | 12418 | 3.4418 | 0.1539 | 18.9122 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google-t5/t5-small