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-anan-seed_211-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef-anan-seed_211-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3945
- Accuracy: 0.4087

## 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: 0.0003
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7412        | 1.0   | 18595  | 3.9088          | 0.3451   |
| 3.4406        | 2.0   | 37190  | 3.6241          | 0.3755   |
| 3.2959        | 3.0   | 55785  | 3.5145          | 0.3874   |
| 3.2112        | 4.0   | 74380  | 3.4094          | 0.3965   |
| 3.1504        | 5.0   | 92975  | 3.3893          | 0.4001   |
| 3.1002        | 6.0   | 111570 | 3.3745          | 0.4019   |
| 3.0672        | 7.0   | 130165 | 3.3520          | 0.4040   |
| 3.0294        | 8.0   | 148760 | 3.3578          | 0.4047   |
| 3.0041        | 9.0   | 167355 | 3.3483          | 0.4062   |
| 2.9788        | 10.0  | 185950 | 3.3495          | 0.4069   |
| 2.9528        | 11.0  | 204545 | 3.3613          | 0.4070   |
| 2.9294        | 12.0  | 223140 | 3.3388          | 0.4082   |
| 2.9052        | 13.0  | 241735 | 3.3627          | 0.4080   |
| 2.8911        | 14.0  | 260330 | 3.3588          | 0.4082   |
| 2.8705        | 15.0  | 278925 | 3.3720          | 0.4085   |
| 2.8496        | 16.0  | 297520 | 3.3605          | 0.4094   |
| 2.8289        | 17.0  | 316115 | 3.3721          | 0.4089   |
| 2.8096        | 18.0  | 334710 | 3.3822          | 0.4088   |
| 2.7898        | 19.0  | 353305 | 3.3884          | 0.4088   |
| 2.772         | 20.0  | 371900 | 3.3945          | 0.4087   |


### Framework versions

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