Model save

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-reg-biencoder-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-biencoder-contrastive
+
+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: 0.0810
+- Mse: 0.1141
+- Mae: 0.2911
+- Pearson Corr: 0.1024
+- Spearman Corr: 0.0843
+- Cosine Sim: 0.8774
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
+| 0.2152        | 1.0   | 21   | 0.2276          | 0.0979 | 0.2386 | 0.1076       | 0.1000        | 0.9041     |
+| 0.0862        | 2.0   | 42   | 0.0866          | 0.1147 | 0.2907 | 0.0312       | 0.0500        | 0.8688     |
+| 0.0663        | 3.0   | 63   | 0.0788          | 0.1066 | 0.2812 | 0.1032       | 0.1269        | 0.8903     |
+| 0.0569        | 4.0   | 84   | 0.0806          | 0.1047 | 0.2814 | 0.1261       | 0.1386        | 0.8897     |
+| 0.0524        | 5.0   | 105  | 0.0801          | 0.1114 | 0.2855 | 0.1103       | 0.1033        | 0.8819     |
+| 0.0487        | 6.0   | 126  | 0.0808          | 0.1117 | 0.2871 | 0.1187       | 0.0951        | 0.8806     |
+| 0.0451        | 7.0   | 147  | 0.0810          | 0.1141 | 0.2911 | 0.1024       | 0.0843        | 0.8774     |
+
+
+### 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:c6afbba606fec7b9a1d730e40c412527bfafe7ef8d9d3c0a1db7c915553eb057
+oid sha256:fdf121d54297897dfe361403ea68a249b735f01eac176e8ae06a749d58bfd212
 size 437953512