Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_tiny_olda_book_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_tiny_olda_book_10_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_tiny_olda_book_10_v1_stsb
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_olda_book_10_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_olda_book_10_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0219
+- Pearson: 0.7874
+- Spearmanr: 0.7899
+- Combined Score: 0.7886
+
+## 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 OptimizerNames.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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.0028        | 1.0   | 23   | 2.5219          | 0.1644  | 0.1637    | 0.1641         |
+| 1.7825        | 2.0   | 46   | 1.7353          | 0.6315  | 0.6561    | 0.6438         |
+| 1.2017        | 3.0   | 69   | 1.1421          | 0.7243  | 0.7369    | 0.7306         |
+| 0.8992        | 4.0   | 92   | 1.0970          | 0.7550  | 0.7677    | 0.7613         |
+| 0.6849        | 5.0   | 115  | 0.8800          | 0.7899  | 0.7895    | 0.7897         |
+| 0.5834        | 6.0   | 138  | 0.8918          | 0.7965  | 0.7978    | 0.7972         |
+| 0.4852        | 7.0   | 161  | 0.9756          | 0.7948  | 0.7965    | 0.7957         |
+| 0.4346        | 8.0   | 184  | 0.8957          | 0.7867  | 0.7860    | 0.7864         |
+| 0.3871        | 9.0   | 207  | 0.9086          | 0.7900  | 0.7882    | 0.7891         |
+| 0.3449        | 10.0  | 230  | 1.0219          | 0.7874  | 0.7899    | 0.7886         |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.1

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