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# smolm-autoreg-bpe-babylm-no_aann-infilling-1e-3

This model is a fine-tuned version of [models/smolm-autoreg-bpe-babylm-no_aann-infilling-1e-3/config.json](https://huggingface.co/models/smolm-autoreg-bpe-babylm-no_aann-infilling-1e-3/config.json) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1612
- Accuracy: 0.4318

## 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: 64
- eval_batch_size: 256
- 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

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5506        | 1.0   | 9180   | 3.6452          | 0.3697   |
| 3.2731        | 2.0   | 18360  | 3.4078          | 0.3940   |
| 3.1564        | 3.0   | 27540  | 3.3062          | 0.4059   |
| 3.0714        | 4.0   | 36720  | 3.2481          | 0.4127   |
| 2.9886        | 5.0   | 45900  | 3.1881          | 0.4192   |
| 2.9236        | 6.0   | 55080  | 3.1613          | 0.4228   |
| 2.8816        | 7.0   | 64260  | 3.1470          | 0.4256   |
| 2.8446        | 8.0   | 73440  | 3.1379          | 0.4270   |
| 2.8065        | 9.0   | 82620  | 3.1353          | 0.4285   |
| 2.7774        | 10.0  | 91800  | 3.1329          | 0.4293   |
| 2.7501        | 11.0  | 100980 | 3.1256          | 0.4306   |
| 2.7231        | 12.0  | 110160 | 3.1269          | 0.4309   |
| 2.701         | 13.0  | 119340 | 3.1334          | 0.4309   |
| 2.6756        | 14.0  | 128520 | 3.1308          | 0.4317   |
| 2.6533        | 15.0  | 137700 | 3.1365          | 0.4319   |
| 2.6306        | 16.0  | 146880 | 3.1389          | 0.4318   |
| 2.6082        | 17.0  | 156060 | 3.1452          | 0.4317   |
| 2.5874        | 18.0  | 165240 | 3.1518          | 0.4320   |
| 2.5684        | 19.0  | 174420 | 3.1557          | 0.4318   |
| 2.548         | 20.0  | 183600 | 3.1612          | 0.4318   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "models/smolm-autoreg-bpe-babylm-no_aann-infilling-1e-3/config.json", "model-index": [{"name": "smolm-autoreg-bpe-babylm-no_aann-infilling-1e-3", "results": []}]}
transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us