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upload best weights

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  1. training_classifiers/binding_affinity/chemberta_smiles_pooled/{seed_123/model.pt → best_model.pt} +2 -2
  2. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_0/metrics.json +0 -8
  3. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_123/metrics.json +0 -8
  4. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_12345/metrics.json +0 -8
  5. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_12345/model.pt +0 -3
  6. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_1986/metrics.json +0 -8
  7. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_1986/model.pt +0 -3
  8. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_42/metrics.json +0 -8
  9. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_42/model.pt +0 -3
  10. training_classifiers/binding_affinity/chemberta_smiles_pooled/seed_42/val_predictions.csv +0 -3
  11. training_classifiers/binding_affinity/{chemberta_smiles_pooled/seed_0/model.pt → chemberta_smiles_unpooled/best_model.pt} +2 -2
  12. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_0/metrics.json +0 -8
  13. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_0/model.pt +0 -3
  14. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_0/val_predictions.csv +0 -3
  15. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_123/metrics.json +0 -8
  16. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_123/model.pt +0 -3
  17. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_123/val_predictions.csv +0 -3
  18. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_12345/metrics.json +0 -8
  19. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_12345/model.pt +0 -3
  20. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_12345/val_predictions.csv +0 -3
  21. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_1986/metrics.json +0 -8
  22. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_1986/model.pt +0 -3
  23. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_1986/val_predictions.csv +0 -3
  24. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_42/metrics.json +0 -8
  25. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_42/model.pt +0 -3
  26. training_classifiers/binding_affinity/chemberta_smiles_unpooled/seed_42/val_predictions.csv +0 -3
  27. training_classifiers/binding_affinity/peptideclm_smiles_pooled/best_model.pt +3 -0
  28. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_0/metrics.json +0 -8
  29. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_0/model.pt +0 -3
  30. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_0/val_predictions.csv +0 -3
  31. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_123/metrics.json +0 -8
  32. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_123/model.pt +0 -3
  33. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_123/val_predictions.csv +0 -3
  34. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_12345/metrics.json +0 -8
  35. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_12345/model.pt +0 -3
  36. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_12345/val_predictions.csv +0 -3
  37. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_1986/metrics.json +0 -8
  38. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_1986/model.pt +0 -3
  39. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_1986/val_predictions.csv +0 -3
  40. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_42/metrics.json +0 -8
  41. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_42/model.pt +0 -3
  42. training_classifiers/binding_affinity/peptideclm_smiles_pooled/seed_42/val_predictions.csv +0 -3
  43. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/best_model.pt +3 -0
  44. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_0/metrics.json +0 -8
  45. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_0/model.pt +0 -3
  46. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_0/val_predictions.csv +0 -3
  47. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_123/metrics.json +0 -8
  48. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_123/model.pt +0 -3
  49. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_123/val_predictions.csv +0 -3
  50. training_classifiers/binding_affinity/peptideclm_smiles_unpooled/seed_12345/metrics.json +0 -8
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training_classifiers/binding_affinity/{chemberta_smiles_pooled/seed_0/model.pt → chemberta_smiles_unpooled/best_model.pt} RENAMED
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