transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-all_det_removal-seed_211-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-all_det_removal-seed_211-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3932
- Accuracy: 0.4111

## 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: 64
- seed: 211
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6069        | 1.0   | 18595  | 3.7979          | 0.3582   |
| 3.385         | 2.0   | 37190  | 3.5575          | 0.3809   |
| 3.2606        | 3.0   | 55785  | 3.4287          | 0.3945   |
| 3.1764        | 4.0   | 74380  | 3.4149          | 0.3985   |
| 3.1251        | 5.0   | 92975  | 3.3929          | 0.4017   |
| 3.0795        | 6.0   | 111570 | 3.3834          | 0.4039   |
| 3.0454        | 7.0   | 130165 | 3.3527          | 0.4071   |
| 3.0185        | 8.0   | 148760 | 3.3456          | 0.4078   |
| 2.9879        | 9.0   | 167355 | 3.3603          | 0.4079   |
| 2.9599        | 10.0  | 185950 | 3.3428          | 0.4097   |
| 2.9382        | 11.0  | 204545 | 3.3425          | 0.4117   |
| 2.9124        | 12.0  | 223140 | 3.3537          | 0.4100   |
| 2.8915        | 13.0  | 241735 | 3.3543          | 0.4104   |
| 2.8713        | 14.0  | 260330 | 3.3478          | 0.4116   |
| 2.8545        | 15.0  | 278925 | 3.3561          | 0.4110   |
| 2.8306        | 16.0  | 297520 | 3.3703          | 0.4106   |
| 2.817         | 17.0  | 316115 | 3.3776          | 0.4109   |
| 2.7938        | 18.0  | 334710 | 3.3861          | 0.4107   |
| 2.7768        | 19.0  | 353305 | 3.3823          | 0.4116   |
| 2.759         | 20.0  | 371900 | 3.3932          | 0.4111   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
