End of training

README.md

@@ -1,69 +1,66 @@
----
-library_name: transformers
-base_model: ModernBERT-base
-tags:
-- generated_from_trainer
-metrics:
-- f1
-- precision
-- recall
-model-index:
-- name: moe_False_addTokens_True_clipLoss_True_cv_2
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# moe_False_addTokens_True_clipLoss_True_cv_2
-
-This model is a fine-tuned version of [ModernBERT-base](https://huggingface.co/ModernBERT-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6542
-- Model Preparation Time: 0.0019
-- F1: 0.0169
-- Precision: 0.0092
-- Recall: 0.1085
-- Threshold: 0.9694
-- Sim Ratio: 1.6631
-- Pos Sim: 0.9044
-- Neg Sim: 0.5438
-
-## 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: 0.0001
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- optimizer: Use 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: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | F1     | Precision | Recall | Threshold | Sim Ratio | Pos Sim | Neg Sim |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:---------:|:------:|:---------:|:---------:|:-------:|:-------:|
-| 0.6628        | 0.8   | 5000 | 0.6884          | 0.0019                 | 0.0164 | 0.0088    | 0.1168 | 0.9672    | 1.6642    | 0.9006  | 0.5412  |
-
-
-### Framework versions
-
-- Transformers 4.48.3
-- Pytorch 2.5.1
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+---
+library_name: transformers
+base_model: ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
+model-index:
+- name: moe_False_addTokens_True_clipLoss_True_cv_2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# moe_False_addTokens_True_clipLoss_True_cv_2
+
+This model is a fine-tuned version of [ModernBERT-base](https://huggingface.co/ModernBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0103
+- Model Preparation Time: 0.002
+- F1: 0.24
+- Precision: 0.2
+- Recall: 0.3
+- Threshold: 0.9834
+- Sim Ratio: 0.9938
+- Pos Sim: 0.9531
+- Neg Sim: 0.9591
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- 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: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -1,53 +1,53 @@
-{
-  "_name_or_path": "ModernBERT-base",
-  "architectures": [
-    "MoEBertForSentenceSimilarity"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 50281,
-  "classifier_activation": "gelu",
-  "classifier_bias": false,
-  "classifier_dropout": 0.0,
-  "classifier_pooling": "mean",
-  "cls_token_id": 50281,
-  "decoder_bias": true,
-  "deterministic_flash_attn": false,
-  "embedding_dropout": 0.0,
-  "eos_token_id": 50282,
-  "global_attn_every_n_layers": 3,
-  "global_rope_theta": 160000.0,
-  "gradient_checkpointing": false,
-  "hidden_activation": "gelu",
-  "hidden_size": 768,
-  "initializer_cutoff_factor": 2.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 1152,
-  "layer_norm_eps": 1e-05,
-  "local_attention": 128,
-  "local_rope_theta": 10000.0,
-  "lora": false,
-  "lora_alpha": 32,
-  "lora_dropout": 0.01,
-  "lora_r": 8,
-  "loss_type": "clip",
-  "max_position_embeddings": 8192,
-  "mlp_bias": false,
-  "mlp_dropout": 0.0,
-  "model_type": "modernbert",
-  "norm_bias": false,
-  "norm_eps": 1e-05,
-  "num_attention_heads": 12,
-  "num_experts": 1,
-  "num_hidden_layers": 22,
-  "pad_token_id": 50283,
-  "position_embedding_type": "absolute",
-  "reference_compile": null,
-  "repad_logits_with_grad": false,
-  "sep_token_id": 50282,
-  "sparse_pred_ignore_index": -100,
-  "sparse_prediction": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.48.3",
-  "vocab_size": 50368
-}
+{
+  "_name_or_path": "ModernBERT-base",
+  "architectures": [
+    "MoEBertForSentenceSimilarity"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 50281,
+  "classifier_activation": "gelu",
+  "classifier_bias": false,
+  "classifier_dropout": 0.0,
+  "classifier_pooling": "mean",
+  "cls_token_id": 50281,
+  "decoder_bias": true,
+  "deterministic_flash_attn": false,
+  "embedding_dropout": 0.0,
+  "eos_token_id": 50282,
+  "global_attn_every_n_layers": 3,
+  "global_rope_theta": 160000.0,
+  "gradient_checkpointing": false,
+  "hidden_activation": "gelu",
+  "hidden_size": 768,
+  "initializer_cutoff_factor": 2.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 1152,
+  "layer_norm_eps": 1e-05,
+  "local_attention": 128,
+  "local_rope_theta": 10000.0,
+  "lora": false,
+  "lora_alpha": 32,
+  "lora_dropout": 0.01,
+  "lora_r": 8,
+  "loss_type": "clip",
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "mlp_dropout": 0.0,
+  "model_type": "modernbert",
+  "norm_bias": false,
+  "norm_eps": 1e-05,
+  "num_attention_heads": 12,
+  "num_experts": 1,
+  "num_hidden_layers": 22,
+  "pad_token_id": 50283,
+  "position_embedding_type": "absolute",
+  "reference_compile": null,
+  "repad_logits_with_grad": false,
+  "sep_token_id": 50282,
+  "sparse_pred_ignore_index": -100,
+  "sparse_prediction": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "vocab_size": 50368
+}

model.safetensors

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training_args.bin

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