mistral-hummanize1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3784
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: 2.5e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 144
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4936 | 0.41 | 50 | 1.4588 |
| 1.434 | 0.83 | 100 | 1.4090 |
| 1.4032 | 1.24 | 150 | 1.3872 |
| 1.392 | 1.65 | 200 | 1.3784 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for fliarbi/mistral-hummanize1
Base model
mistralai/Mistral-7B-v0.1