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-keys_to_pipps_all-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-keys_to_pipps_all-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3449
- Accuracy: 0.4108

## 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: 0.001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6001        | 1.0   | 19014  | 3.7251          | 0.3609   |
| 3.3959        | 2.0   | 38028  | 3.5040          | 0.3820   |
| 3.2662        | 3.0   | 57042  | 3.4255          | 0.3932   |
| 3.1892        | 4.0   | 76056  | 3.3537          | 0.3992   |
| 3.134         | 5.0   | 95070  | 3.3279          | 0.4033   |
| 3.0941        | 6.0   | 114084 | 3.3172          | 0.4041   |
| 3.0584        | 7.0   | 133098 | 3.3045          | 0.4065   |
| 3.026         | 8.0   | 152112 | 3.3046          | 0.4071   |
| 2.9961        | 9.0   | 171126 | 3.2926          | 0.4084   |
| 2.974         | 10.0  | 190140 | 3.2889          | 0.4090   |
| 2.9516        | 11.0  | 209154 | 3.3076          | 0.4090   |
| 2.9292        | 12.0  | 228168 | 3.2888          | 0.4104   |
| 2.9071        | 13.0  | 247182 | 3.2999          | 0.4101   |
| 2.8845        | 14.0  | 266196 | 3.3064          | 0.4107   |
| 2.8669        | 15.0  | 285210 | 3.3155          | 0.4104   |
| 2.8505        | 16.0  | 304224 | 3.3300          | 0.4105   |
| 2.8318        | 17.0  | 323238 | 3.3195          | 0.4110   |
| 2.8155        | 18.0  | 342252 | 3.3315          | 0.4109   |
| 2.7914        | 19.0  | 361266 | 3.3386          | 0.4109   |
| 2.7769        | 20.0  | 380280 | 3.3449          | 0.4108   |


### Framework versions

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