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v4_mistral_lora

mtzig / v4_mistral_lora

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: Novembre 26 2024

Introduction of v4_mistral_lora

Model Details of v4_mistral_lora

v4_mistral_lora

This model is a fine-tuned version of peiyi9979/math-shepherd-mistral-7b-prm on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2841
  • Accuracy: 0.8687
  • Precision: 0.8392
  • Recall: 0.6575
  • F1: 0.7373
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: 6
  • eval_batch_size: 8
  • seed: 89234
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 72
  • total_eval_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 0 0 0.5995 0.7340 0.6 0.1535 0.2445
0.6057 0.0254 20 0.5918 0.7373 0.625 0.1575 0.2516
0.5356 0.0507 40 0.5521 0.7517 0.6790 0.2165 0.3284
0.5141 0.0761 60 0.5021 0.7627 0.5890 0.5079 0.5455
0.3594 0.1015 80 0.4427 0.7980 0.7448 0.4252 0.5414
0.3988 0.1268 100 0.4067 0.8245 0.7684 0.5354 0.6311
0.3205 0.1522 120 0.3738 0.8201 0.8138 0.4646 0.5915
0.3026 0.1776 140 0.3680 0.8289 0.8235 0.4961 0.6192
0.2886 0.2030 160 0.3467 0.8433 0.8590 0.5276 0.6537
0.2345 0.2283 180 0.3289 0.8587 0.7972 0.6654 0.7253
0.2964 0.2537 200 0.3322 0.8377 0.8497 0.5118 0.6388
0.2655 0.2791 220 0.3495 0.8278 0.8657 0.4567 0.5979
0.3252 0.3044 240 0.3189 0.8455 0.8314 0.5630 0.6714
0.2561 0.3298 260 0.3228 0.8532 0.8201 0.6102 0.6998
0.1661 0.3552 280 0.3141 0.8499 0.8598 0.5551 0.6746
0.1812 0.3805 300 0.3330 0.8300 0.8378 0.4882 0.6169
0.3265 0.4059 320 0.2961 0.8543 0.8280 0.6063 0.7
0.2217 0.4313 340 0.2970 0.8664 0.8065 0.6890 0.7431
0.2058 0.4567 360 0.3054 0.8521 0.8333 0.5906 0.6912
0.225 0.4820 380 0.3018 0.8576 0.8531 0.5945 0.7007
0.2045 0.5074 400 0.3174 0.8510 0.8742 0.5472 0.6731
0.2368 0.5328 420 0.3156 0.8477 0.8537 0.5512 0.6699
0.2162 0.5581 440 0.2928 0.8609 0.8441 0.6181 0.7136
0.1664 0.5835 460 0.2978 0.8598 0.8325 0.6260 0.7146
0.2282 0.6089 480 0.3031 0.8587 0.8539 0.5984 0.7037
0.1983 0.6342 500 0.2958 0.8543 0.8177 0.6181 0.7040
0.1843 0.6596 520 0.3055 0.8609 0.8556 0.6063 0.7097
0.1915 0.6850 540 0.2818 0.8675 0.8160 0.6811 0.7425
0.1582 0.7104 560 0.2887 0.8675 0.8641 0.6260 0.7260
0.2003 0.7357 580 0.2872 0.8653 0.8511 0.6299 0.7240
0.2345 0.7611 600 0.2827 0.8687 0.8293 0.6693 0.7407
0.2107 0.7865 620 0.2954 0.8642 0.8701 0.6063 0.7146
0.2562 0.8118 640 0.2938 0.8642 0.8503 0.6260 0.7211
0.1054 0.8372 660 0.2917 0.8642 0.8503 0.6260 0.7211
0.2837 0.8626 680 0.2842 0.8664 0.8376 0.6496 0.7317
0.1779 0.8879 700 0.2841 0.8709 0.8477 0.6575 0.7406
0.2277 0.9133 720 0.2847 0.8675 0.8384 0.6535 0.7345
0.2099 0.9387 740 0.2828 0.8720 0.8485 0.6614 0.7434
0.2167 0.9641 760 0.2835 0.8709 0.8477 0.6575 0.7406
0.1901 0.9894 780 0.2841 0.8687 0.8392 0.6575 0.7373
Framework versions
  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of mtzig v4_mistral_lora on huggingface.co

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More Information About v4_mistral_lora huggingface.co Model

v4_mistral_lora huggingface.co

v4_mistral_lora huggingface.co is an AI model on huggingface.co that provides v4_mistral_lora's model effect (), which can be used instantly with this mtzig v4_mistral_lora model. huggingface.co supports a free trial of the v4_mistral_lora model, and also provides paid use of the v4_mistral_lora. Support call v4_mistral_lora model through api, including Node.js, Python, http.

v4_mistral_lora huggingface.co Url

https://huggingface.co/mtzig/v4_mistral_lora

mtzig v4_mistral_lora online free

v4_mistral_lora huggingface.co is an online trial and call api platform, which integrates v4_mistral_lora's modeling effects, including api services, and provides a free online trial of v4_mistral_lora, you can try v4_mistral_lora online for free by clicking the link below.

mtzig v4_mistral_lora online free url in huggingface.co:

https://huggingface.co/mtzig/v4_mistral_lora

v4_mistral_lora install

v4_mistral_lora is an open source model from GitHub that offers a free installation service, and any user can find v4_mistral_lora on GitHub to install. At the same time, huggingface.co provides the effect of v4_mistral_lora install, users can directly use v4_mistral_lora installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

v4_mistral_lora install url in huggingface.co:

https://huggingface.co/mtzig/v4_mistral_lora

Url of v4_mistral_lora

v4_mistral_lora huggingface.co Url

Provider of v4_mistral_lora huggingface.co

mtzig
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