Model save

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-reg-biencoder-cosine_embedding
+  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-biencoder-cosine_embedding
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4608
+- Mse: 0.2163
+- Mae: 0.3729
+- Pearson Corr: 0.1820
+- Spearman Corr: 0.1619
+- Cosine Sim: 0.6941
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
+| 0.5366        | 1.0   | 21   | 0.5212          | 0.1367 | 0.2918 | 0.1078       | 0.1049        | 0.9047     |
+| 0.5294        | 2.0   | 42   | 0.5061          | 0.0996 | 0.2390 | 0.1385       | 0.1515        | 0.9048     |
+| 0.4811        | 3.0   | 63   | 0.4862          | 0.0855 | 0.2381 | 0.1325       | 0.0899        | 0.8857     |
+| 0.4292        | 4.0   | 84   | 0.4494          | 0.1511 | 0.3202 | 0.2155       | 0.1778        | 0.7872     |
+| 0.3672        | 5.0   | 105  | 0.4513          | 0.1470 | 0.3067 | 0.2206       | 0.1849        | 0.7980     |
+| 0.3259        | 6.0   | 126  | 0.4644          | 0.2209 | 0.3901 | 0.1864       | 0.1662        | 0.6696     |
+| 0.2866        | 7.0   | 147  | 0.4608          | 0.2163 | 0.3729 | 0.1820       | 0.1619        | 0.6941     |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7df5ea01b5055a5881bcac893f14fc2952626bddf0a20c89682ae7dc76644c9
+oid sha256:594e59bb72cf166f24b1c17c804b85b417bb4a37fef4743693ee56124b4dbd5d
 size 437953512