Model save

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-reg-crossencoder-contrastive
+  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. -->
+
+# bert-reg-crossencoder-contrastive
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- Mse: 0.2717
+- Mae: 0.4451
+- Pearson Corr: -0.2034
+- Spearman Corr: -0.1953
+- Cosine Sim: 0.9027
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | Pearson Corr | Spearman Corr | Cosine Sim |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
+| 0.0148        | 1.0   | 41   | 0.0014          | 0.2889 | 0.4614 | -0.1243      | -0.0625       | 0.9003     |
+| 0.0096        | 2.0   | 82   | 0.0074          | 0.3706 | 0.5451 | -0.0433      | -0.0347       | 0.9030     |
+| 0.0059        | 3.0   | 123  | 0.0001          | 0.2549 | 0.4285 | -0.0372      | -0.0585       | 0.9032     |
+| 0.004         | 4.0   | 164  | 0.0023          | 0.3175 | 0.4940 | -0.0783      | -0.0715       | 0.9029     |
+| 0.0026        | 5.0   | 205  | 0.0003          | 0.2770 | 0.4519 | -0.0308      | -0.0070       | 0.9033     |
+| 0.0019        | 6.0   | 246  | 0.0002          | 0.2771 | 0.4512 | -0.1884      | -0.1805       | 0.9028     |
+| 0.0018        | 7.0   | 287  | 0.0001          | 0.2717 | 0.4451 | -0.2034      | -0.1953       | 0.9027     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92103c42d1c2a056fe64a1457e9555035ddbfdf7545a4a61f813542c89498ce9
-size 437956772
+oid sha256:b8eab9f884a43796e532c2b4ae7c84964270ea0387244ee28514ceed23b9ad2a
+size 437955572