Upload esm2_ffn/manifest.json with huggingface_hub
Browse files- esm2_ffn/manifest.json +577 -0
esm2_ffn/manifest.json
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| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"model": "esm2_ffn",
|
| 4 |
+
"run_mode": "full",
|
| 5 |
+
"device": "Tesla T4",
|
| 6 |
+
"base_model": "facebook/esm2_t33_650M_UR50D",
|
| 7 |
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"embedding_revision": "b52b6a4876f9d2ff5e1c928d87390168b0219e87",
|
| 8 |
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"feature_count": 1280,
|
| 9 |
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"term_count": 4152,
|
| 10 |
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"training_proteins": 141995,
|
| 11 |
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"available_training_proteins": 142241,
|
| 12 |
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"training_embedding_coverage": 0.9982705408426543,
|
| 13 |
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"missing_embedding_proteins": 246,
|
| 14 |
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"test_proteins": 141864,
|
| 15 |
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"available_test_proteins": 141864,
|
| 16 |
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"test_prediction_rows": 200008644,
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| 17 |
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"test_proteins_with_predictions": 141864,
|
| 18 |
+
"required_input": [
|
| 19 |
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"EntryID",
|
| 20 |
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"sequence"
|
| 21 |
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],
|
| 22 |
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"prediction_schema": [
|
| 23 |
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"EntryID",
|
| 24 |
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"term",
|
| 25 |
+
"score"
|
| 26 |
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],
|
| 27 |
+
"configuration": {
|
| 28 |
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"seed": 42,
|
| 29 |
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"head": {
|
| 30 |
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"hidden_dim": 512,
|
| 31 |
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"dropout": 0.2,
|
| 32 |
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"learning_rate": 0.001,
|
| 33 |
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"weight_decay": 0.0001
|
| 34 |
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},
|
| 35 |
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"pos_weight_cap": 50.0,
|
| 36 |
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"train_batch_size": 256,
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| 37 |
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"epochs_per_shard": 5,
|
| 38 |
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"max_residue_length": 1022,
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| 39 |
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"minimum_score": 0.01,
|
| 40 |
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"maximum_terms_per_protein": 1500,
|
| 41 |
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"inference_batch_size": 32,
|
| 42 |
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"inference_token_budget": 4096,
|
| 43 |
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"inference_attention_budget": 4194304,
|
| 44 |
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"inference_sort_window": 512,
|
| 45 |
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"training_mode": "single shard pass, persistent head and optimizer, no search",
|
| 46 |
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"training_seconds": 2299.6016540527344,
|
| 47 |
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"training_history": [
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| 48 |
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| 50 |
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| 51 |
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| 52 |
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| 55 |
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| 56 |
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| 57 |
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| 564 |
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| 565 |
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},
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| 566 |
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| 567 |
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| 568 |
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| 569 |
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| 570 |
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| 571 |
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| 572 |
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| 573 |
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| 574 |
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| 575 |
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| 576 |
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| 577 |
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