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Snowflake-snowflake-arctic-embed-l_20241127-010327

Text Classification
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bert
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Snowflake-snowflake-arctic-embed-l_20241127-010327

This model is a fine-tuned version of Snowflake/snowflake-arctic-embed-l on an unknown dataset. It achieves the following results on the evaluation set:

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-06
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 64
  • 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: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
0.0097 0.9995 1806 0.0440 0.9681 0.9732 0.9761 0.9781 0.9796 0.9808 0.9818 0.9826 0.9833 0.9838 0.9843 0.9848 0.9852 0.9856 0.9859 0.9863 0.9865 0.9868 0.9871 0.9873 0.9875 0.9877 0.9879 0.9881 0.9883 0.9884 0.9886 0.9887 0.9889 0.9890 0.9891 0.9892 0.9893 0.9894 0.9895 0.9897 0.9898 0.9899 0.9900 0.9901 0.9902 0.9902 0.9903 0.9904 0.9905 0.9906 0.9906 0.9907 0.9908 0.9909 0.9909 0.9910 0.9911 0.9911 0.9912 0.9913 0.9914 0.9914 0.9915 0.9916 0.9917 0.9917 0.9918 0.9918 0.9919 0.9920 0.9921 0.9921 0.9922 0.9923 0.9923 0.9924 0.9925 0.9925 0.9926 0.9927 0.9928 0.9928 0.9929 0.9930 0.9931 0.9931 0.9932 0.9933 0.9934 0.9935 0.9936 0.9937 0.9938 0.9939 0.9940 0.9942 0.9943 0.9945 0.9946 0.9949 0.9951 0.9955 0.9960
0.0071 1.9995 3613 0.0288 0.9830 0.9854 0.9870 0.9879 0.9885 0.9891 0.9895 0.9899 0.9903 0.9905 0.9908 0.9910 0.9912 0.9914 0.9916 0.9918 0.9919 0.9921 0.9922 0.9923 0.9924 0.9926 0.9927 0.9928 0.9929 0.9930 0.9931 0.9932 0.9933 0.9934 0.9935 0.9935 0.9936 0.9937 0.9937 0.9938 0.9939 0.9939 0.9940 0.9940 0.9941 0.9941 0.9942 0.9943 0.9943 0.9944 0.9944 0.9945 0.9945 0.9946 0.9946 0.9947 0.9947 0.9948 0.9948 0.9949 0.9949 0.9950 0.9950 0.9951 0.9951 0.9951 0.9952 0.9952 0.9953 0.9953 0.9953 0.9954 0.9954 0.9955 0.9955 0.9955 0.9956 0.9956 0.9957 0.9957 0.9957 0.9958 0.9958 0.9959 0.9959 0.9960 0.9960 0.9960 0.9961 0.9961 0.9962 0.9963 0.9963 0.9964 0.9964 0.9965 0.9966 0.9967 0.9967 0.9968 0.9970 0.9972 0.9974
0.0043 2.9984 5418 0.0222 0.9872 0.9892 0.9902 0.9909 0.9914 0.9918 0.9921 0.9924 0.9926 0.9928 0.9930 0.9932 0.9933 0.9935 0.9936 0.9937 0.9939 0.9940 0.9941 0.9942 0.9943 0.9944 0.9945 0.9945 0.9946 0.9947 0.9948 0.9948 0.9949 0.9950 0.9950 0.9951 0.9952 0.9952 0.9953 0.9953 0.9954 0.9954 0.9955 0.9955 0.9956 0.9956 0.9956 0.9957 0.9957 0.9958 0.9958 0.9958 0.9959 0.9959 0.9960 0.9960 0.9960 0.9961 0.9961 0.9961 0.9962 0.9962 0.9962 0.9963 0.9963 0.9963 0.9964 0.9964 0.9964 0.9965 0.9965 0.9965 0.9966 0.9966 0.9966 0.9967 0.9967 0.9967 0.9968 0.9968 0.9968 0.9969 0.9969 0.9969 0.9970 0.9970 0.9970 0.9971 0.9971 0.9971 0.9972 0.9972 0.9973 0.9973 0.9973 0.9974 0.9975 0.9975 0.9976 0.9977 0.9978 0.9979 0.9981

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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Evaluation results

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