Translation
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use noidea41/marian-finetuned-kde4-en-to-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noidea41/marian-finetuned-kde4-en-to-fr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="noidea41/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("noidea41/marian-finetuned-kde4-en-to-fr") model = AutoModelForMultimodalLM.from_pretrained("noidea41/marian-finetuned-kde4-en-to-fr") - Notebooks
- Google Colab
- Kaggle
marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of KETI-AIR/ke-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_bleu: 0.0
- eval_runtime: 583.4798
- eval_samples_per_second: 15.425
- eval_steps_per_second: 0.242
- epoch: 0.0008
- step: 3
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 2
Model tree for noidea41/marian-finetuned-kde4-en-to-fr
Base model
KETI-AIR/ke-t5-base