Na_M2_1000steps_1e7_SFT
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3111
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-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9785 | 0.2667 | 50 | 1.8984 |
| 0.815 | 0.5333 | 100 | 0.6662 |
| 0.4371 | 0.8 | 150 | 0.4306 |
| 0.3721 | 1.0667 | 200 | 0.3807 |
| 0.3439 | 1.3333 | 250 | 0.3367 |
| 0.3251 | 1.6 | 300 | 0.3266 |
| 0.3215 | 1.8667 | 350 | 0.3233 |
| 0.3156 | 2.1333 | 400 | 0.3205 |
| 0.3124 | 2.4 | 450 | 0.3183 |
| 0.3165 | 2.6667 | 500 | 0.3161 |
| 0.3128 | 2.9333 | 550 | 0.3130 |
| 0.3093 | 3.2 | 600 | 0.3120 |
| 0.311 | 3.4667 | 650 | 0.3109 |
| 0.3073 | 3.7333 | 700 | 0.3112 |
| 0.306 | 4.0 | 750 | 0.3115 |
| 0.307 | 4.2667 | 800 | 0.3112 |
| 0.3052 | 4.5333 | 850 | 0.3111 |
| 0.3048 | 4.8 | 900 | 0.3105 |
| 0.3034 | 5.0667 | 950 | 0.3111 |
| 0.3057 | 5.3333 | 1000 | 0.3111 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1