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End of training
Browse files- README.md +76 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: m3rg-iitd/matscibert
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: MatSciBERT_ST_DA_1800
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# MatSciBERT_ST_DA_1800
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This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1671
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- Precision: 0.8613
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- Recall: 0.8455
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- F1: 0.8533
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- Accuracy: 0.9746
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.0809 | 1.0 | 1050 | 0.1024 | 0.8455 | 0.8230 | 0.8341 | 0.9719 |
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| 0.0424 | 2.0 | 2100 | 0.1023 | 0.8371 | 0.8365 | 0.8368 | 0.9714 |
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| 0.025 | 3.0 | 3150 | 0.1397 | 0.8397 | 0.8223 | 0.8309 | 0.9702 |
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| 0.0142 | 4.0 | 4200 | 0.1403 | 0.8592 | 0.8379 | 0.8484 | 0.9736 |
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| 0.0074 | 5.0 | 5250 | 0.1271 | 0.8727 | 0.8641 | 0.8684 | 0.9771 |
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| 0.0047 | 6.0 | 6300 | 0.1430 | 0.8742 | 0.8581 | 0.8661 | 0.9769 |
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| 0.0023 | 7.0 | 7350 | 0.1777 | 0.8578 | 0.8310 | 0.8442 | 0.9733 |
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| 0.0015 | 8.0 | 8400 | 0.1524 | 0.8637 | 0.8581 | 0.8609 | 0.9760 |
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| 0.0013 | 9.0 | 9450 | 0.1683 | 0.8609 | 0.8441 | 0.8524 | 0.9745 |
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| 0.0008 | 10.0 | 10500 | 0.1671 | 0.8613 | 0.8455 | 0.8533 | 0.9746 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 437387124
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version https://git-lfs.github.com/spec/v1
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oid sha256:810e854fcc35f0c43d03ec4ed704c336b3910a92389daf90b6c9229c0b05bd68
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size 437387124
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