mistral7b-martinmatrix-finetune
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 120
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8049 | 0.2155 | 25 | 0.0073 |
| 0.0045 | 0.4310 | 50 | 0.0018 |
| 0.0011 | 0.6466 | 75 | 0.0004 |
| 0.0004 | 0.8621 | 100 | 0.0002 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for dendimaki/mistral-checkpoints
Base model
mistralai/Mistral-7B-v0.1