Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bert-base-cased
+model-index:
+- name: bert-base-cased-finetuned-Astronomy_Thesaurus
+  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-cased-finetuned-Astronomy_Thesaurus
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4679
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 8.284         | 1.0   | 879  | 4.3823          |
+| 4.4381        | 2.0   | 1758 | 3.9386          |
+| 4.1111        | 3.0   | 2637 | 3.7912          |
+| 3.986         | 4.0   | 3516 | 3.6484          |
+| 3.9316        | 5.0   | 4395 | 3.5765          |
+| 3.8624        | 6.0   | 5274 | 3.5439          |
+| 3.8162        | 7.0   | 6153 | 3.5072          |
+| 3.7915        | 8.0   | 7032 | 3.5043          |
+| 3.7814        | 9.0   | 7911 | 3.5015          |
+| 3.7804        | 10.0  | 8790 | 3.4679          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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