Mists-7B-v01-single-turn
This model is a fine-tuned version of HachiML/Mists-7B-v01-projector-trained on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4228
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: 16
- 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_ratio: 0.05
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6859 | 0.0420 | 400 | 1.1048 |
0.7572 | 0.0841 | 800 | 0.8318 |
0.664 | 0.1261 | 1200 | 0.7295 |
0.6135 | 0.1682 | 1600 | 0.6526 |
0.5707 | 0.2102 | 2000 | 0.6007 |
0.5506 | 0.2523 | 2400 | 0.5653 |
0.5255 | 0.2943 | 2800 | 0.5434 |
0.5106 | 0.3363 | 3200 | 0.5219 |
0.4909 | 0.3784 | 3600 | 0.5045 |
0.4773 | 0.4204 | 4000 | 0.4874 |
0.4664 | 0.4625 | 4400 | 0.4762 |
0.4555 | 0.5045 | 4800 | 0.4663 |
0.4516 | 0.5466 | 5200 | 0.4560 |
0.4466 | 0.5886 | 5600 | 0.4490 |
0.4403 | 0.6306 | 6000 | 0.4433 |
0.4323 | 0.6727 | 6400 | 0.4383 |
0.4337 | 0.7147 | 6800 | 0.4324 |
0.4214 | 0.7568 | 7200 | 0.4297 |
0.4153 | 0.7988 | 7600 | 0.4269 |
0.414 | 0.8409 | 8000 | 0.4250 |
0.4187 | 0.8829 | 8400 | 0.4238 |
0.418 | 0.9250 | 8800 | 0.4230 |
0.4126 | 0.9670 | 9200 | 0.4228 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for HachiML/Mists-7B-v01-single-turn
Base model
HachiML/Mists-7B-v01-not-trained
Finetuned
HachiML/Mists-7B-v01-projector-trained