---
license: mit
base_model: jarod0411/zinc10M_gpt2-medium_SMILES_step1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: linker_v2
  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. -->

# linker_v2

This model is a fine-tuned version of [jarod0411/zinc10M_gpt2-medium_SMILES_step1](https://huggingface.co/jarod0411/zinc10M_gpt2-medium_SMILES_step1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3096
- Accuracy: 0.8994

## 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: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.3437        | 1.0   | 53844  | 0.3364          | 0.8920   |
| 0.3312        | 2.0   | 107688 | 0.3266          | 0.8947   |
| 0.3244        | 3.0   | 161532 | 0.3213          | 0.8961   |
| 0.32          | 4.0   | 215376 | 0.3178          | 0.8971   |
| 0.3162        | 5.0   | 269220 | 0.3153          | 0.8978   |
| 0.3133        | 6.0   | 323064 | 0.3134          | 0.8983   |
| 0.3113        | 7.0   | 376908 | 0.3120          | 0.8987   |
| 0.3094        | 8.0   | 430752 | 0.3108          | 0.8990   |
| 0.3077        | 9.0   | 484596 | 0.3100          | 0.8993   |
| 0.3072        | 10.0  | 538440 | 0.3096          | 0.8994   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0