metadata
base_model: models/smolm-autoreg-bpe-seed_555/config.json
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_555
results: []
smolm-autoreg-bpe-seed_555
This model is a fine-tuned version of models/smolm-autoreg-bpe-seed_555/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2878
- Accuracy: 0.5417
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: 0.003
- train_batch_size: 64
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.8796 | 1.0 | 826 | 3.1083 | 0.4611 |
| 2.802 | 2.0 | 1652 | 2.7455 | 0.4965 |
| 2.6268 | 3.0 | 2478 | 2.5734 | 0.5116 |
| 2.4165 | 4.0 | 3304 | 2.4667 | 0.5211 |
| 2.2892 | 5.0 | 4130 | 2.3949 | 0.5288 |
| 2.2315 | 6.0 | 4956 | 2.3446 | 0.5338 |
| 2.1587 | 7.0 | 5782 | 2.3208 | 0.5374 |
| 2.1253 | 8.0 | 6608 | 2.3044 | 0.5394 |
| 2.0858 | 9.0 | 7434 | 2.2940 | 0.5404 |
| 2.0556 | 10.0 | 8260 | 2.2878 | 0.5417 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3