Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-1e-4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4138
+- Accuracy: 0.4080
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0521        | 1.0   | 18600  | 4.2759          | 0.3096   |
+| 3.567         | 2.0   | 37200  | 3.7516          | 0.3623   |
+| 3.3864        | 3.0   | 55800  | 3.5931          | 0.3802   |
+| 3.2901        | 4.0   | 74400  | 3.5232          | 0.3883   |
+| 3.2176        | 5.0   | 93000  | 3.4594          | 0.3939   |
+| 3.1641        | 6.0   | 111600 | 3.4612          | 0.3961   |
+| 3.1229        | 7.0   | 130200 | 3.4155          | 0.4000   |
+| 3.0932        | 8.0   | 148800 | 3.4064          | 0.4015   |
+| 3.0577        | 9.0   | 167400 | 3.4074          | 0.4036   |
+| 3.0285        | 10.0  | 186000 | 3.3945          | 0.4058   |
+| 3.0042        | 11.0  | 204600 | 3.3962          | 0.4052   |
+| 2.9833        | 12.0  | 223200 | 3.3878          | 0.4060   |
+| 2.9614        | 13.0  | 241800 | 3.3943          | 0.4065   |
+| 2.9382        | 14.0  | 260400 | 3.3899          | 0.4072   |
+| 2.9179        | 15.0  | 279000 | 3.3926          | 0.4075   |
+| 2.9009        | 16.0  | 297600 | 3.4043          | 0.4072   |
+| 2.8878        | 17.0  | 316200 | 3.3955          | 0.4079   |
+| 2.8705        | 18.0  | 334800 | 3.4079          | 0.4078   |
+| 2.8533        | 19.0  | 353400 | 3.4119          | 0.4077   |
+| 2.8352        | 20.0  | 372000 | 3.4138          | 0.4080   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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 size 391376736

runs/Feb10_22-53-24_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707627554.phyl-ling-p01.la.utexas.edu.3480160.0

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