SMM-classifier-1 / README.md
Kuaaangwen's picture
update model card README.md
a120bad
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SMM-classifier-1
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. -->
# SMM-classifier-1
This model is a fine-tuned version of [Kuaaangwen/bert-base-cased-finetuned-chemistry](https://huggingface.co/Kuaaangwen/bert-base-cased-finetuned-chemistry) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5506
- Accuracy: 0.8333
## 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: 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 7 | 0.2044 | 0.8333 |
| No log | 2.0 | 14 | 0.3574 | 0.8333 |
| No log | 3.0 | 21 | 0.1551 | 0.8333 |
| No log | 4.0 | 28 | 0.9122 | 0.8333 |
| No log | 5.0 | 35 | 0.9043 | 0.8333 |
| No log | 6.0 | 42 | 0.7262 | 0.8333 |
| No log | 7.0 | 49 | 0.5977 | 0.8333 |
| No log | 8.0 | 56 | 0.5567 | 0.8333 |
| No log | 9.0 | 63 | 0.5484 | 0.8333 |
| No log | 10.0 | 70 | 0.5506 | 0.8333 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2