translation_score2
This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2729
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4668 | 0.1937 | 500 | 1.3084 |
| 1.3065 | 0.3874 | 1000 | 1.2897 |
| 1.2896 | 0.5812 | 1500 | 1.2808 |
| 1.2801 | 0.7749 | 2000 | 1.2753 |
| 1.2802 | 0.9686 | 2500 | 1.2729 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for huiwonLee/translation_score2
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407