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---
base_model: DeepChem/ChemBERTa-77M-MTR
tags:
- generated_from_trainer
model-index:
- name: results2
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. -->
# results2
This model is a fine-tuned version of [DeepChem/ChemBERTa-77M-MTR](https://huggingface.co/DeepChem/ChemBERTa-77M-MTR) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2201
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2781 | 1.0 | 671 | 5.2674 |
| 5.259 | 2.0 | 1342 | 5.2066 |
| 5.1316 | 3.0 | 2013 | 5.0585 |
| 4.9743 | 4.0 | 2684 | 4.7316 |
| 4.7413 | 5.0 | 3355 | 4.4416 |
| 4.5042 | 6.0 | 4026 | 4.3289 |
| 4.4567 | 7.0 | 4697 | 4.2736 |
| 4.4302 | 8.0 | 5368 | 4.2420 |
| 4.406 | 9.0 | 6039 | 4.2255 |
| 4.4009 | 10.0 | 6710 | 4.2201 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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