---
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
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# 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