Translation
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Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("e1879/marian-finetuned-kde4-en-to-zh-tw")
model = AutoModelForSeq2SeqLM.from_pretrained("e1879/marian-finetuned-kde4-en-to-zh-tw")Quick Links
marian-finetuned-kde4-en-to-zh-tw
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9680
- Bleu: 40.0658
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for e1879/marian-finetuned-kde4-en-to-zh-tw
Base model
Helsinki-NLP/opus-mt-en-zhDataset used to train e1879/marian-finetuned-kde4-en-to-zh-tw
Evaluation results
- Bleu on kde4self-reported40.066
# 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="e1879/marian-finetuned-kde4-en-to-zh-tw")