---
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: []
---

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# 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