PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0508
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4996 | 0.0719 | 20 | 1.1235 |
| 1.0737 | 0.1438 | 40 | 1.0508 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B
Base model
unsloth/mistral-7b-instruct-v0.2-bnb-4bit