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LeoMistral_V06_BRONCO_CARDIO_SUMMARY_CATALOG

This model is a fine-tuned version of LeoLM/leo-mistral-hessianai-7b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2802
  • Num Input Tokens Seen: 56173093

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Input Tokens Seen
0.7643 0.25 1377 0.7811 2763564
0.6186 0.5 2754 0.6358 5558436
0.5504 0.75 4131 0.5620 8313712
0.5311 1.0 5508 0.5014 11183370
0.3525 1.25 6885 0.4752 13968826
0.4545 1.5 8262 0.4221 16892566
0.4189 1.75 9639 0.3897 19596674
0.297 2.0 11016 0.3561 22472546
0.2219 2.25 12393 0.3447 25171614
0.2962 2.5 13770 0.3171 28070134
0.2244 2.75 15147 0.2974 30841414
0.307 3.0 16524 0.2774 33754586
0.1942 3.25 17901 0.2824 36458478
0.2212 3.5 19278 0.2762 39268846
0.1737 3.75 20655 0.2713 42149206
0.2141 4.0 22032 0.2692 44987298
0.2088 4.25 23409 0.2795 47803982
0.0971 4.5 24786 0.2801 50611334
0.1567 4.75 26163 0.2802 53414782
0.1923 5.0 27540 0.2802 56173093

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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