Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_tiny_lda_100_v1_book_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_tiny_lda_100_v1_book_stsb
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8117
+- Pearson: 0.8090
+- Spearmanr: 0.8066
+- Combined Score: 0.8078
+
+## 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: 5e-05
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.1938        | 1.0   | 23   | 2.4088          | 0.1233  | 0.1363    | 0.1298         |
+| 1.724         | 2.0   | 46   | 1.3509          | 0.6695  | 0.6702    | 0.6698         |
+| 1.1162        | 3.0   | 69   | 0.9383          | 0.7654  | 0.7625    | 0.7639         |
+| 0.8449        | 4.0   | 92   | 0.8558          | 0.7876  | 0.7849    | 0.7863         |
+| 0.7011        | 5.0   | 115  | 0.9826          | 0.7761  | 0.7835    | 0.7798         |
+| 0.6154        | 6.0   | 138  | 0.8605          | 0.7884  | 0.7859    | 0.7871         |
+| 0.5011        | 7.0   | 161  | 0.7928          | 0.8049  | 0.8016    | 0.8033         |
+| 0.4464        | 8.0   | 184  | 0.8498          | 0.8009  | 0.7998    | 0.8003         |
+| 0.3985        | 9.0   | 207  | 0.8156          | 0.7999  | 0.7968    | 0.7984         |
+| 0.3519        | 10.0  | 230  | 0.8549          | 0.8050  | 0.8028    | 0.8039         |
+| 0.366         | 11.0  | 253  | 0.8143          | 0.8063  | 0.8037    | 0.8050         |
+| 0.3156        | 12.0  | 276  | 0.8117          | 0.8090  | 0.8066    | 0.8078         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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