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_1024-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-all_det_removal-seed_1024-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4065
- Accuracy: 0.4108

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6045        | 1.0   | 18595  | 3.8091          | 0.3571   |
| 3.3851        | 2.0   | 37190  | 3.5880          | 0.3806   |
| 3.2574        | 3.0   | 55785  | 3.4658          | 0.3924   |
| 3.1783        | 4.0   | 74380  | 3.4213          | 0.3979   |
| 3.1267        | 5.0   | 92975  | 3.4026          | 0.4017   |
| 3.0784        | 6.0   | 111570 | 3.3932          | 0.4034   |
| 3.0486        | 7.0   | 130165 | 3.3636          | 0.4072   |
| 3.0136        | 8.0   | 148760 | 3.3790          | 0.4066   |
| 2.9858        | 9.0   | 167355 | 3.3516          | 0.4089   |
| 2.9614        | 10.0  | 185950 | 3.3464          | 0.4092   |
| 2.9356        | 11.0  | 204545 | 3.3584          | 0.4092   |
| 2.9111        | 12.0  | 223140 | 3.3776          | 0.4090   |
| 2.8937        | 13.0  | 241735 | 3.3673          | 0.4105   |
| 2.872         | 14.0  | 260330 | 3.3696          | 0.4097   |
| 2.8533        | 15.0  | 278925 | 3.3686          | 0.4114   |
| 2.8332        | 16.0  | 297520 | 3.3770          | 0.4107   |
| 2.8145        | 17.0  | 316115 | 3.3935          | 0.4108   |
| 2.7957        | 18.0  | 334710 | 3.3891          | 0.4110   |
| 2.7766        | 19.0  | 353305 | 3.3936          | 0.4112   |
| 2.7627        | 20.0  | 371900 | 3.4065          | 0.4108   |


### Framework versions

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