---
base_model: jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1
tags:
- generated_from_trainer
datasets:
- jarod0411/linker_v6
metrics:
- accuracy
model-index:
- name: linker_v6
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: jarod0411/linker_v6
      type: jarod0411/linker_v6
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8994679101285066
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# linker_v6

This model is a fine-tuned version of [jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1](https://huggingface.co/jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1) on the jarod0411/linker_v6 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3103
- Accuracy: 0.8995

## 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: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.3747        | 1.0   | 43879  | 0.3539          | 0.8870   |
| 0.3495        | 2.0   | 87758  | 0.3322          | 0.8936   |
| 0.3387        | 3.0   | 131637 | 0.3240          | 0.8959   |
| 0.3322        | 4.0   | 175516 | 0.3194          | 0.8971   |
| 0.3279        | 5.0   | 219395 | 0.3164          | 0.8978   |
| 0.325         | 6.0   | 263274 | 0.3140          | 0.8985   |
| 0.3231        | 7.0   | 307153 | 0.3125          | 0.8989   |
| 0.3213        | 8.0   | 351032 | 0.3114          | 0.8992   |
| 0.3201        | 9.0   | 394911 | 0.3107          | 0.8994   |
| 0.3191        | 10.0  | 438790 | 0.3103          | 0.8995   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2