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Mixtral_texmin
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0053
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: 32
- 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: 0.03
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1336 | 10.0 | 10 | 0.9527 |
| 0.994 | 20.0 | 20 | 0.8577 |
| 0.8959 | 30.0 | 30 | 0.7932 |
| 0.8284 | 40.0 | 40 | 0.7371 |
| 0.7632 | 50.0 | 50 | 0.6634 |
| 0.6947 | 60.0 | 60 | 0.6000 |
| 0.6178 | 70.0 | 70 | 0.5247 |
| 0.5351 | 80.0 | 80 | 0.4482 |
| 0.4532 | 90.0 | 90 | 0.3783 |
| 0.3764 | 100.0 | 100 | 0.3120 |
| 0.3038 | 110.0 | 110 | 0.2446 |
| 0.232 | 120.0 | 120 | 0.1830 |
| 0.1668 | 130.0 | 130 | 0.1273 |
| 0.1111 | 140.0 | 140 | 0.0854 |
| 0.0722 | 150.0 | 150 | 0.0608 |
| 0.0506 | 160.0 | 160 | 0.0479 |
| 0.0406 | 170.0 | 170 | 0.0422 |
| 0.0351 | 180.0 | 180 | 0.0386 |
| 0.0316 | 190.0 | 190 | 0.0364 |
| 0.0292 | 200.0 | 200 | 0.0350 |
| 0.0271 | 210.0 | 210 | 0.0329 |
| 0.0253 | 220.0 | 220 | 0.0311 |
| 0.0238 | 230.0 | 230 | 0.0303 |
| 0.0223 | 240.0 | 240 | 0.0285 |
| 0.021 | 250.0 | 250 | 0.0276 |
| 0.0196 | 260.0 | 260 | 0.0262 |
| 0.0184 | 270.0 | 270 | 0.0246 |
| 0.0174 | 280.0 | 280 | 0.0234 |
| 0.0165 | 290.0 | 290 | 0.0223 |
| 0.0153 | 300.0 | 300 | 0.0214 |
| 0.0147 | 310.0 | 310 | 0.0218 |
| 0.0137 | 320.0 | 320 | 0.0203 |
| 0.0129 | 330.0 | 330 | 0.0198 |
| 0.012 | 340.0 | 340 | 0.0190 |
| 0.0114 | 350.0 | 350 | 0.0217 |
| 0.0107 | 360.0 | 360 | 0.0183 |
| 0.0101 | 370.0 | 370 | 0.0149 |
| 0.0097 | 380.0 | 380 | 0.0149 |
| 0.0094 | 390.0 | 390 | 0.0145 |
| 0.0088 | 400.0 | 400 | 0.0140 |
| 0.0082 | 410.0 | 410 | 0.0132 |
| 0.0072 | 420.0 | 420 | 0.0122 |
| 0.0067 | 430.0 | 430 | 0.0115 |
| 0.0061 | 440.0 | 440 | 0.0106 |
| 0.0057 | 450.0 | 450 | 0.0102 |
| 0.0053 | 460.0 | 460 | 0.0095 |
| 0.005 | 470.0 | 470 | 0.0088 |
| 0.0048 | 480.0 | 480 | 0.0086 |
| 0.0047 | 490.0 | 490 | 0.0081 |
| 0.0045 | 500.0 | 500 | 0.0085 |
| 0.0045 | 510.0 | 510 | 0.0080 |
| 0.0043 | 520.0 | 520 | 0.0082 |
| 0.0042 | 530.0 | 530 | 0.0078 |
| 0.0041 | 540.0 | 540 | 0.0076 |
| 0.004 | 550.0 | 550 | 0.0075 |
| 0.0039 | 560.0 | 560 | 0.0074 |
| 0.0038 | 570.0 | 570 | 0.0072 |
| 0.0038 | 580.0 | 580 | 0.0072 |
| 0.0038 | 590.0 | 590 | 0.0070 |
| 0.0037 | 600.0 | 600 | 0.0070 |
| 0.0036 | 610.0 | 610 | 0.0069 |
| 0.0036 | 620.0 | 620 | 0.0068 |
| 0.0035 | 630.0 | 630 | 0.0067 |
| 0.0035 | 640.0 | 640 | 0.0066 |
| 0.0034 | 650.0 | 650 | 0.0064 |
| 0.0034 | 660.0 | 660 | 0.0064 |
| 0.0033 | 670.0 | 670 | 0.0064 |
| 0.0033 | 680.0 | 680 | 0.0064 |
| 0.0032 | 690.0 | 690 | 0.0062 |
| 0.0032 | 700.0 | 700 | 0.0062 |
| 0.0032 | 710.0 | 710 | 0.0061 |
| 0.0032 | 720.0 | 720 | 0.0060 |
| 0.0031 | 730.0 | 730 | 0.0060 |
| 0.0031 | 740.0 | 740 | 0.0060 |
| 0.0031 | 750.0 | 750 | 0.0059 |
| 0.003 | 760.0 | 760 | 0.0058 |
| 0.003 | 770.0 | 770 | 0.0057 |
| 0.003 | 780.0 | 780 | 0.0058 |
| 0.003 | 790.0 | 790 | 0.0057 |
| 0.0029 | 800.0 | 800 | 0.0056 |
| 0.0029 | 810.0 | 810 | 0.0055 |
| 0.0029 | 820.0 | 820 | 0.0056 |
| 0.0029 | 830.0 | 830 | 0.0055 |
| 0.0029 | 840.0 | 840 | 0.0054 |
| 0.0029 | 850.0 | 850 | 0.0055 |
| 0.0028 | 860.0 | 860 | 0.0055 |
| 0.0028 | 870.0 | 870 | 0.0055 |
| 0.0028 | 880.0 | 880 | 0.0054 |
| 0.0028 | 890.0 | 890 | 0.0053 |
| 0.0028 | 900.0 | 900 | 0.0053 |
| 0.0028 | 910.0 | 910 | 0.0054 |
| 0.0027 | 920.0 | 920 | 0.0053 |
| 0.0027 | 930.0 | 930 | 0.0053 |
| 0.0027 | 940.0 | 940 | 0.0052 |
| 0.0027 | 950.0 | 950 | 0.0052 |
| 0.0027 | 960.0 | 960 | 0.0053 |
| 0.0027 | 970.0 | 970 | 0.0052 |
| 0.0027 | 980.0 | 980 | 0.0053 |
| 0.0027 | 990.0 | 990 | 0.0052 |
| 0.0027 | 1000.0 | 1000 | 0.0053 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for tigerbhai/Mixtral_texmin
Base model
mistralai/Mixtral-8x7B-v0.1
Adapter
this model