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

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_removal-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4222
- Accuracy: 0.4082

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7348        | 1.0   | 18594  | 3.9020          | 0.3469   |
| 3.4377        | 2.0   | 37188  | 3.6359          | 0.3749   |
| 3.295         | 3.0   | 55782  | 3.5103          | 0.3884   |
| 3.2047        | 4.0   | 74376  | 3.4410          | 0.3952   |
| 3.1471        | 5.0   | 92970  | 3.4172          | 0.3988   |
| 3.101         | 6.0   | 111564 | 3.4061          | 0.4010   |
| 3.0626        | 7.0   | 130158 | 3.3768          | 0.4034   |
| 3.0277        | 8.0   | 148752 | 3.3994          | 0.4043   |
| 3.0062        | 9.0   | 167346 | 3.3710          | 0.4059   |
| 2.9755        | 10.0  | 185940 | 3.3847          | 0.4059   |
| 2.9514        | 11.0  | 204534 | 3.3753          | 0.4078   |
| 2.9304        | 12.0  | 223128 | 3.3837          | 0.4072   |
| 2.9068        | 13.0  | 241722 | 3.3885          | 0.4079   |
| 2.8872        | 14.0  | 260316 | 3.3989          | 0.4073   |
| 2.8636        | 15.0  | 278910 | 3.3993          | 0.4076   |
| 2.8469        | 16.0  | 297504 | 3.3945          | 0.4081   |
| 2.825         | 17.0  | 316098 | 3.4017          | 0.4083   |
| 2.8104        | 18.0  | 334692 | 3.4111          | 0.4082   |
| 2.7905        | 19.0  | 353286 | 3.4110          | 0.4085   |
| 2.7755        | 20.0  | 371880 | 3.4222          | 0.4082   |


### Framework versions

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