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-3e-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-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4202
+- Accuracy: 0.4089
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7444        | 1.0   | 18600  | 3.9303          | 0.3452   |
+| 3.4367        | 2.0   | 37200  | 3.6375          | 0.3746   |
+| 3.29          | 3.0   | 55800  | 3.5155          | 0.3880   |
+| 3.2081        | 4.0   | 74400  | 3.4751          | 0.3940   |
+| 3.1438        | 5.0   | 93000  | 3.4190          | 0.3983   |
+| 3.0947        | 6.0   | 111600 | 3.3905          | 0.4022   |
+| 3.0569        | 7.0   | 130200 | 3.3832          | 0.4029   |
+| 3.029         | 8.0   | 148800 | 3.3740          | 0.4051   |
+| 2.9953        | 9.0   | 167400 | 3.3781          | 0.4059   |
+| 2.9667        | 10.0  | 186000 | 3.3879          | 0.4069   |
+| 2.9426        | 11.0  | 204600 | 3.3766          | 0.4071   |
+| 2.9217        | 12.0  | 223200 | 3.3644          | 0.4085   |
+| 2.8993        | 13.0  | 241800 | 3.3694          | 0.4082   |
+| 2.8758        | 14.0  | 260400 | 3.3866          | 0.4088   |
+| 2.8544        | 15.0  | 279000 | 3.3849          | 0.4087   |
+| 2.8363        | 16.0  | 297600 | 3.4028          | 0.4086   |
+| 2.8222        | 17.0  | 316200 | 3.3990          | 0.4089   |
+| 2.8018        | 18.0  | 334800 | 3.3984          | 0.4096   |
+| 2.7834        | 19.0  | 353400 | 3.4143          | 0.4091   |
+| 2.7626        | 20.0  | 372000 | 3.4202          | 0.4089   |
+
+
+### 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_00-13-12_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707545972.phyl-ling-p01.la.utexas.edu.3434584.0

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