mistral_instruct_generation2
This model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1836
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 10
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1924 | 1.0 | 373 | 0.2022 |
| 0.182 | 2.0 | 746 | 0.1896 |
| 0.1792 | 3.0 | 1119 | 0.1864 |
| 0.177 | 4.0 | 1492 | 0.1850 |
| 0.174 | 5.0 | 1865 | 0.1842 |
| 0.1723 | 6.0 | 2238 | 0.1836 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for bif02/mistral_instruct_generation2
Base model
mistralai/Mixtral-8x7B-v0.1
Finetuned
mistralai/Mixtral-8x7B-Instruct-v0.1