eeve-2.8B_C
This model is a fine-tuned version of yanolja/EEVE-Korean-Instruct-2.8B-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3962
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 48
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3034 | 1.0 | 233 | 0.3962 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for c10/eeve-2.8B_C
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microsoft/phi-2 Finetuned
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yanolja/YanoljaNEXT-EEVE-Instruct-2.8B