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-indef-removal-seed_211-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_211-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4163
- Accuracy: 0.4076

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0497        | 1.0   | 18595  | 4.2852          | 0.3080   |
| 3.565         | 2.0   | 37190  | 3.7283          | 0.3633   |
| 3.3896        | 3.0   | 55785  | 3.5917          | 0.3804   |
| 3.2893        | 4.0   | 74380  | 3.5098          | 0.3893   |
| 3.2194        | 5.0   | 92975  | 3.4496          | 0.3948   |
| 3.1724        | 6.0   | 111570 | 3.4233          | 0.3982   |
| 3.1258        | 7.0   | 130165 | 3.4181          | 0.4005   |
| 3.0958        | 8.0   | 148760 | 3.4253          | 0.4011   |
| 3.0662        | 9.0   | 167355 | 3.4222          | 0.4023   |
| 3.0368        | 10.0  | 185950 | 3.4052          | 0.4037   |
| 3.0083        | 11.0  | 204545 | 3.3978          | 0.4047   |
| 2.9889        | 12.0  | 223140 | 3.3996          | 0.4056   |
| 2.9622        | 13.0  | 241735 | 3.3896          | 0.4065   |
| 2.9419        | 14.0  | 260330 | 3.3847          | 0.4072   |
| 2.9292        | 15.0  | 278925 | 3.4022          | 0.4065   |
| 2.9096        | 16.0  | 297520 | 3.4086          | 0.4071   |
| 2.893         | 17.0  | 316115 | 3.4042          | 0.4074   |
| 2.872         | 18.0  | 334710 | 3.4126          | 0.4074   |
| 2.8563        | 19.0  | 353305 | 3.4111          | 0.4076   |
| 2.8424        | 20.0  | 371900 | 3.4163          | 0.4076   |


### Framework versions

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