opus-en-pl-finetuning-opus
This model is a fine-tuned version of gsarti/opus-mt-tc-en-pl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.2294
- Bleu: 0.0036
- Gen Len: 454.3333
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 142 | 7.4991 | 0.0088 | 401.7407 |
| No log | 2.0 | 284 | 7.2294 | 0.0036 | 454.3333 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for clui/opus-en-pl-finetuning-opus
Base model
gsarti/opus-mt-tc-en-pl