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smolm-autoreg-bpe-seed_999
This model is a fine-tuned version of models/smolm-autoreg-bpe-seed_999/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5556
- Accuracy: 0.4868
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: 999
- 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 |
---|---|---|---|---|
6.0647 | 1.0 | 732 | 3.5407 | 0.3936 |
3.4818 | 2.0 | 1464 | 3.1218 | 0.4325 |
2.9396 | 3.0 | 2196 | 2.9132 | 0.4501 |
2.8097 | 4.0 | 2928 | 2.7875 | 0.4612 |
2.6162 | 5.0 | 3660 | 2.6972 | 0.4706 |
2.5405 | 6.0 | 4392 | 2.6413 | 0.4773 |
2.451 | 7.0 | 5124 | 2.6054 | 0.4797 |
2.4034 | 8.0 | 5856 | 2.5827 | 0.4831 |
2.3575 | 9.0 | 6588 | 2.5651 | 0.4856 |
2.3278 | 10.0 | 7320 | 2.5556 | 0.4868 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3