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_1024-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef-anan-seed_1024-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4221
- Accuracy: 0.4088

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7362        | 1.0   | 18595  | 3.8958          | 0.3477   |
| 3.4364        | 2.0   | 37190  | 3.6265          | 0.3748   |
| 3.2911        | 3.0   | 55785  | 3.5278          | 0.3892   |
| 3.2068        | 4.0   | 74380  | 3.4636          | 0.3952   |
| 3.1446        | 5.0   | 92975  | 3.4225          | 0.3997   |
| 3.1034        | 6.0   | 111570 | 3.4072          | 0.4020   |
| 3.0633        | 7.0   | 130165 | 3.3788          | 0.4040   |
| 3.0315        | 8.0   | 148760 | 3.3888          | 0.4051   |
| 2.9995        | 9.0   | 167355 | 3.3858          | 0.4065   |
| 2.971         | 10.0  | 185950 | 3.3903          | 0.4062   |
| 2.9521        | 11.0  | 204545 | 3.3803          | 0.4079   |
| 2.9281        | 12.0  | 223140 | 3.3880          | 0.4080   |
| 2.9058        | 13.0  | 241735 | 3.3740          | 0.4083   |
| 2.884         | 14.0  | 260330 | 3.3773          | 0.4087   |
| 2.8641        | 15.0  | 278925 | 3.3963          | 0.4087   |
| 2.847         | 16.0  | 297520 | 3.4004          | 0.4085   |
| 2.8249        | 17.0  | 316115 | 3.4037          | 0.4089   |
| 2.8045        | 18.0  | 334710 | 3.4124          | 0.4087   |
| 2.7866        | 19.0  | 353305 | 3.4144          | 0.4090   |
| 2.7746        | 20.0  | 371900 | 3.4221          | 0.4088   |


### Framework versions

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