Model save

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_base_lda_100_v1_stsb
+  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_base_lda_100_v1_stsb
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4802
+- Pearson: nan
+- Spearmanr: nan
+- Combined Score: nan
+
+## 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: 0.001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 10
+- 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 5.4876        | 1.0   | 23   | 2.5971          | nan     | nan       | nan            |
+| 2.2047        | 2.0   | 46   | 2.3759          | nan     | nan       | nan            |
+| 2.2017        | 3.0   | 69   | 2.4512          | nan     | nan       | nan            |
+| 2.1807        | 4.0   | 92   | 2.4512          | nan     | nan       | nan            |
+| 2.1807        | 5.0   | 115  | 2.5112          | nan     | nan       | nan            |
+| 2.196         | 6.0   | 138  | 2.3448          | nan     | nan       | nan            |
+| 2.1902        | 7.0   | 161  | 2.7164          | nan     | nan       | nan            |
+| 2.1899        | 8.0   | 184  | 2.6349          | nan     | nan       | nan            |
+| 2.1962        | 9.0   | 207  | 2.3354          | nan     | nan       | nan            |
+| 2.1802        | 10.0  | 230  | 2.3028          | nan     | nan       | nan            |
+| 2.1945        | 11.0  | 253  | 2.7164          | nan     | nan       | nan            |
+| 2.1932        | 12.0  | 276  | 2.7380          | nan     | nan       | nan            |
+| 2.206         | 13.0  | 299  | 2.7380          | nan     | nan       | nan            |
+| 2.1965        | 14.0  | 322  | 2.6546          | nan     | nan       | nan            |
+| 2.1794        | 15.0  | 345  | 2.4802          | nan     | nan       | nan            |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

logs/events.out.tfevents.1732650509.ki-g0008.2137866.12

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0fa5c4b714ae8a8bced9b7fca6bfbdaa7223cb39ef4d4d4555ab44287d0e9376
-size 10841
+oid sha256:cda7636a4426a7ec34fe21dc3f918403f599d4297767fbee52b97ab4c84bd901
+size 15059

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3426344417c14113adab55536b3bb884d31c8986fc44c9928b3dbcf5c7e6e15b
+oid sha256:b858ba2f138e2e0d5357a8e3eb81ca96861b93c1a354b5766437f117d6b30d3e
 size 437950172