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12-18-finetuned-eng-to-para
This model is a fine-tuned version of Tri1/6-12-finetuned-eng-to-para on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0339
- Bleu: 35.7233
- Gen Len: 22.56
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 |
|---|---|---|---|---|---|
| 0.0441 | 1.0 | 6250 | 0.0420 | 31.1327 | 22.08 |
| 0.0412 | 2.0 | 12500 | 0.0397 | 32.419 | 22.72 |
| 0.0396 | 3.0 | 18750 | 0.0371 | 35.4708 | 20.96 |
| 0.0385 | 4.0 | 25000 | 0.0356 | 34.6037 | 21.12 |
| 0.0377 | 5.0 | 31250 | 0.0343 | 35.7663 | 22.24 |
| 0.0381 | 6.0 | 37500 | 0.0339 | 35.7233 | 22.56 |
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("Tri1/12-18-finetuned-eng-to-para") model = AutoModelForSeq2SeqLM.from_pretrained("Tri1/12-18-finetuned-eng-to-para", device_map="auto")