final-zalo-2023
This model is a fine-tuned version of akjindal53244/Arithmo-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4636
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: 1.1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2973 | 0.56 | 1000 | 0.4636 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
Inference Providers
NEW
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Model tree for khiepm209/final-zalo-2023
Base model
akjindal53244/Arithmo-Mistral-7B