UTI_M2_1000steps_1e8rate_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: 2.6170
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-08
- 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 |
---|---|---|---|
2.6263 | 0.3333 | 25 | 2.6302 |
2.6415 | 0.6667 | 50 | 2.6306 |
2.6336 | 1.0 | 75 | 2.6298 |
2.6804 | 1.3333 | 100 | 2.6284 |
2.5885 | 1.6667 | 125 | 2.6291 |
2.542 | 2.0 | 150 | 2.6286 |
2.6601 | 2.3333 | 175 | 2.6249 |
2.6936 | 2.6667 | 200 | 2.6240 |
2.6593 | 3.0 | 225 | 2.6238 |
2.6088 | 3.3333 | 250 | 2.6237 |
2.542 | 3.6667 | 275 | 2.6208 |
2.5635 | 4.0 | 300 | 2.6185 |
2.6825 | 4.3333 | 325 | 2.6183 |
2.5987 | 4.6667 | 350 | 2.6198 |
2.6421 | 5.0 | 375 | 2.6196 |
2.6426 | 5.3333 | 400 | 2.6183 |
2.6517 | 5.6667 | 425 | 2.6189 |
2.5762 | 6.0 | 450 | 2.6190 |
2.6801 | 6.3333 | 475 | 2.6190 |
2.5918 | 6.6667 | 500 | 2.6169 |
2.6354 | 7.0 | 525 | 2.6163 |
2.6433 | 7.3333 | 550 | 2.6156 |
2.7024 | 7.6667 | 575 | 2.6172 |
2.575 | 8.0 | 600 | 2.6176 |
2.6109 | 8.3333 | 625 | 2.6165 |
2.6088 | 8.6667 | 650 | 2.6195 |
2.698 | 9.0 | 675 | 2.6185 |
2.612 | 9.3333 | 700 | 2.6166 |
2.615 | 9.6667 | 725 | 2.6188 |
2.681 | 10.0 | 750 | 2.6165 |
2.6118 | 10.3333 | 775 | 2.6190 |
2.5875 | 10.6667 | 800 | 2.6168 |
2.6859 | 11.0 | 825 | 2.6170 |
2.5953 | 11.3333 | 850 | 2.6171 |
2.5884 | 11.6667 | 875 | 2.6169 |
2.6721 | 12.0 | 900 | 2.6170 |
2.5951 | 12.3333 | 925 | 2.6170 |
2.6112 | 12.6667 | 950 | 2.6170 |
2.5842 | 13.0 | 975 | 2.6170 |
2.5962 | 13.3333 | 1000 | 2.6170 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for tsavage68/UTI_M2_1000steps_1e8rate_SFT
Base model
mistralai/Mistral-7B-Instruct-v0.2