transformers tensorboard 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-pipps_10k-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_10k-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3776
- Accuracy: 0.4061

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0555        | 1.0   | 18720  | 4.2404          | 0.3106   |
| 3.5684        | 2.0   | 37440  | 3.6939          | 0.3639   |
| 3.3907        | 3.0   | 56160  | 3.5451          | 0.3810   |
| 3.2922        | 4.0   | 74880  | 3.4860          | 0.3886   |
| 3.2269        | 5.0   | 93600  | 3.4283          | 0.3935   |
| 3.1743        | 6.0   | 112320 | 3.3970          | 0.3969   |
| 3.1331        | 7.0   | 131040 | 3.4014          | 0.3990   |
| 3.0948        | 8.0   | 149760 | 3.3756          | 0.4007   |
| 3.0705        | 9.0   | 168480 | 3.3762          | 0.4021   |
| 3.0344        | 10.0  | 187200 | 3.3786          | 0.4028   |
| 3.0172        | 11.0  | 205920 | 3.3693          | 0.4039   |
| 2.9923        | 12.0  | 224640 | 3.3662          | 0.4039   |
| 2.974         | 13.0  | 243360 | 3.3643          | 0.4049   |
| 2.955         | 14.0  | 262080 | 3.3627          | 0.4052   |
| 2.9334        | 15.0  | 280800 | 3.3659          | 0.4056   |
| 2.9135        | 16.0  | 299520 | 3.3705          | 0.4057   |
| 2.8957        | 17.0  | 318240 | 3.3669          | 0.4056   |
| 2.8821        | 18.0  | 336960 | 3.3696          | 0.4060   |
| 2.8679        | 19.0  | 355680 | 3.3755          | 0.4062   |
| 2.8496        | 20.0  | 374400 | 3.3776          | 0.4061   |


### Framework versions

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