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-naan-non-num-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef-naan-non-num-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4141
- Accuracy: 0.4091

## 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: 42
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7339        | 1.0   | 18595  | 3.8762          | 0.3473   |
| 3.4301        | 2.0   | 37190  | 3.6233          | 0.3762   |
| 3.2914        | 3.0   | 55785  | 3.5018          | 0.3888   |
| 3.2009        | 4.0   | 74380  | 3.4628          | 0.3954   |
| 3.1448        | 5.0   | 92975  | 3.4054          | 0.3995   |
| 3.0957        | 6.0   | 111570 | 3.3889          | 0.4027   |
| 3.0603        | 7.0   | 130165 | 3.3681          | 0.4045   |
| 3.0274        | 8.0   | 148760 | 3.3829          | 0.4062   |
| 2.9951        | 9.0   | 167355 | 3.3627          | 0.4069   |
| 2.9703        | 10.0  | 185950 | 3.3604          | 0.4075   |
| 2.9472        | 11.0  | 204545 | 3.3551          | 0.4082   |
| 2.9245        | 12.0  | 223140 | 3.3739          | 0.4082   |
| 2.8989        | 13.0  | 241735 | 3.3730          | 0.4084   |
| 2.8822        | 14.0  | 260330 | 3.3770          | 0.4089   |
| 2.8638        | 15.0  | 278925 | 3.3840          | 0.4090   |
| 2.8416        | 16.0  | 297520 | 3.3865          | 0.4093   |
| 2.818         | 17.0  | 316115 | 3.3889          | 0.4093   |
| 2.8061        | 18.0  | 334710 | 3.4020          | 0.4091   |
| 2.79          | 19.0  | 353305 | 3.4104          | 0.4090   |
| 2.7654        | 20.0  | 371900 | 3.4141          | 0.4091   |


### Framework versions

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