---
library_name: peft
tags:
- generated_from_trainer
base_model: allenai/scibert_scivocab_uncased
model-index:
- name: scibert_scivocab_uncased-finetuned-Astronomy_Thesaurus
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# scibert_scivocab_uncased-finetuned-Astronomy_Thesaurus

This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3610

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5303        | 1.0   | 879  | 1.3800          |
| 1.4977        | 2.0   | 1758 | 1.4101          |
| 1.4942        | 3.0   | 2637 | 1.3678          |
| 1.4662        | 4.0   | 3516 | 1.3817          |
| 1.4748        | 5.0   | 4395 | 1.3750          |
| 1.4629        | 6.0   | 5274 | 1.3611          |
| 1.4763        | 7.0   | 6153 | 1.3643          |
| 1.453         | 8.0   | 7032 | 1.3713          |
| 1.4603        | 9.0   | 7911 | 1.3871          |
| 1.4697        | 10.0  | 8790 | 1.3610          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1