Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-reg-biencoder-mse
+  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-mse
+
+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: 0.0817
+- Mse: 0.0812
+- Mae: 0.2278
+- Pearson Corr: 0.2835
+- Spearman Corr: 0.2331
+- Cosine Sim: 0.9097
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
+| 0.1219        | 1.0   | 21   | 0.1124          | 0.1117 | 0.2560 | 0.1406       | 0.0993        | 0.9055     |
+| 0.1017        | 2.0   | 42   | 0.0838          | 0.0833 | 0.2248 | 0.1312       | 0.1239        | 0.9045     |
+| 0.0872        | 3.0   | 63   | 0.0778          | 0.0775 | 0.2205 | 0.2520       | 0.1374        | 0.9097     |
+| 0.0694        | 4.0   | 84   | 0.0860          | 0.0856 | 0.2328 | 0.1923       | 0.1456        | 0.9037     |
+| 0.0533        | 5.0   | 105  | 0.0958          | 0.0951 | 0.2418 | 0.3089       | 0.2252        | 0.9132     |
+| 0.0478        | 6.0   | 126  | 0.0782          | 0.0778 | 0.2216 | 0.2913       | 0.2325        | 0.9096     |
+| 0.0385        | 7.0   | 147  | 0.0817          | 0.0812 | 0.2278 | 0.2835       | 0.2331        | 0.9097     |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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