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6-12-finetuned-eng-to-para
This model is a fine-tuned version of Tri1/opus-mt-en-ro-finetuned-eng-to-para-finetuned-eng-to-para on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0434
- Bleu: 29.2203
- Gen Len: 21.92
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.056 | 1.0 | 6250 | 0.0535 | 26.485 | 22.08 |
| 0.0517 | 2.0 | 12500 | 0.0503 | 27.7864 | 21.12 |
| 0.0492 | 3.0 | 18750 | 0.0471 | 29.1077 | 22.72 |
| 0.0471 | 4.0 | 25000 | 0.0454 | 26.9698 | 21.28 |
| 0.0456 | 5.0 | 31250 | 0.0440 | 29.1254 | 22.24 |
| 0.0453 | 6.0 | 37500 | 0.0434 | 29.2203 | 21.92 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tri1/6-12-finetuned-eng-to-para") model = AutoModelForSeq2SeqLM.from_pretrained("Tri1/6-12-finetuned-eng-to-para", device_map="auto")