fbbc3d9c32
Model: mncai/Mistral-7B-Instruct-v0.2-1st-NWS-KoOrca-5k-2nd-MiBaSeAl-u2k-ep4-lr5-len2500 Source: Original Platform
license, base_model, tags, model-index
| license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500 |
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batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2500_warmup_0.05_max_grad1.0_grad_accu16
This model is a fine-tuned version of mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500 on the None dataset.
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0