Model natrénován s nejlepší metrikou -0.0609 v epoše 0

README.md

@@ -4,7 +4,7 @@ Tento model byl vytvořen pomocí knihovny AOMF Mimicry pro imitaci embeddings.
 
 ## Základní informace
 
-- **Základní model:** ./output_test_freeze_dense_only/best_model
+- **Základní model:** ./output_test_freeze_dense_only/best_model/
 - **Typ modelu:** Transformer
 - **Dimenze embeddings:** 2048
 - **Strategie zmrazení vrstev:** selective

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./output_test_freeze_dense_only/best_model",
+  "_name_or_path": "./output_test_freeze_dense_only/best_model/",
   "activation_function": "gelu",
   "add_pooling_layer": false,
   "architectures": [
@@ -15,7 +15,7 @@
     "AutoModelForSequenceClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForSequenceClassification",
     "AutoModelForTokenClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForTokenClassification"
   },
-  "base_model_name": "./output_test_freeze_dense_only/best_model",
+  "base_model_name": "./output_test_freeze_dense_only/best_model/",
   "bos_token_id": null,
   "causal": false,
   "dense_seq_output": true,

model.safetensors

@@ -1,3 +1,3 @@
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 size 1901187232

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 774465858

sentence_bert_config.json

@@ -1,7 +1,7 @@
 {
   "sentence_embedding_dimension": 2048,
   "model_type": "EmbeddingMimicModel",
-  "base_model_name": "./output_test_freeze_dense_only/best_model",
+  "base_model_name": "./output_test_freeze_dense_only/best_model/",
   "pooling_mode_cls_token": true,
   "pooling_mode_mean_tokens": false,
   "pooling_mode_max_tokens": false,