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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-babylm-seed_1024-1e-3
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. -->
# smolm-autoreg-bpe-babylm-seed_1024-1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4044
- Accuracy: 0.4112
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5972 | 1.0 | 18595 | 3.7848 | 0.3596 |
| 3.3783 | 2.0 | 37190 | 3.5924 | 0.3811 |
| 3.2531 | 3.0 | 55785 | 3.4617 | 0.3919 |
| 3.1768 | 4.0 | 74380 | 3.4215 | 0.3983 |
| 3.1209 | 5.0 | 92975 | 3.3891 | 0.4028 |
| 3.0769 | 6.0 | 111570 | 3.3921 | 0.4039 |
| 3.0421 | 7.0 | 130165 | 3.3538 | 0.4070 |
| 3.0089 | 8.0 | 148760 | 3.3607 | 0.4076 |
| 2.9842 | 9.0 | 167355 | 3.3492 | 0.4094 |
| 2.9595 | 10.0 | 185950 | 3.3596 | 0.4097 |
| 2.9382 | 11.0 | 204545 | 3.3544 | 0.4101 |
| 2.9125 | 12.0 | 223140 | 3.3588 | 0.4107 |
| 2.8929 | 13.0 | 241735 | 3.3648 | 0.4109 |
| 2.8689 | 14.0 | 260330 | 3.3662 | 0.4110 |
| 2.8494 | 15.0 | 278925 | 3.3657 | 0.4116 |
| 2.8316 | 16.0 | 297520 | 3.3748 | 0.4114 |
| 2.8151 | 17.0 | 316115 | 3.3865 | 0.4114 |
| 2.797 | 18.0 | 334710 | 3.3825 | 0.4115 |
| 2.7759 | 19.0 | 353305 | 3.4028 | 0.4111 |
| 2.7566 | 20.0 | 371900 | 3.4044 | 0.4112 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
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