|
--- |
|
base_model: jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- jarod0411/linker_v2 |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: stage1 |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: jarod0411/linker_v2 |
|
type: jarod0411/linker_v2 |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8936249984035948 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# stage1 |
|
|
|
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_v2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3311 |
|
- Accuracy: 0.8936 |
|
|
|
## 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: 24 |
|
- eval_batch_size: 24 |
|
- seed: 1 |
|
- distributed_type: multi-GPU |
|
- num_devices: 6 |
|
- total_train_batch_size: 144 |
|
- total_eval_batch_size: 144 |
|
- 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 | |
|
|:-------------:|:-----:|:------:|:---------------:|:--------:| |
|
| 0.375 | 1.0 | 23931 | 0.3615 | 0.8853 | |
|
| 0.3609 | 2.0 | 47862 | 0.3494 | 0.8887 | |
|
| 0.3533 | 3.0 | 71793 | 0.3432 | 0.8904 | |
|
| 0.3486 | 4.0 | 95724 | 0.3394 | 0.8914 | |
|
| 0.3456 | 5.0 | 119655 | 0.3367 | 0.8921 | |
|
| 0.3432 | 6.0 | 143586 | 0.3346 | 0.8927 | |
|
| 0.3412 | 7.0 | 167517 | 0.3333 | 0.8930 | |
|
| 0.3397 | 8.0 | 191448 | 0.3322 | 0.8933 | |
|
| 0.339 | 9.0 | 215379 | 0.3314 | 0.8935 | |
|
| 0.3383 | 10.0 | 239310 | 0.3311 | 0.8936 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.2 |
|
|
