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-3
+  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-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4114
+- Accuracy: 0.4119
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.5998        | 1.0   | 18600  | 3.7955          | 0.3595   |
+| 3.3776        | 2.0   | 37200  | 3.5874          | 0.3805   |
+| 3.245         | 3.0   | 55800  | 3.4956          | 0.3923   |
+| 3.1698        | 4.0   | 74400  | 3.4301          | 0.3991   |
+| 3.1095        | 5.0   | 93000  | 3.4080          | 0.4017   |
+| 3.0618        | 6.0   | 111600 | 3.3783          | 0.4047   |
+| 3.0262        | 7.0   | 130200 | 3.3656          | 0.4063   |
+| 2.9992        | 8.0   | 148800 | 3.3350          | 0.4088   |
+| 2.9653        | 9.0   | 167400 | 3.3531          | 0.4103   |
+| 2.9376        | 10.0  | 186000 | 3.3526          | 0.4110   |
+| 2.9136        | 11.0  | 204600 | 3.3538          | 0.4098   |
+| 2.8922        | 12.0  | 223200 | 3.3425          | 0.4120   |
+| 2.8698        | 13.0  | 241800 | 3.3346          | 0.4124   |
+| 2.8466        | 14.0  | 260400 | 3.3660          | 0.4110   |
+| 2.8253        | 15.0  | 279000 | 3.3566          | 0.4127   |
+| 2.8058        | 16.0  | 297600 | 3.3781          | 0.4113   |
+| 2.7908        | 17.0  | 316200 | 3.3851          | 0.4119   |
+| 2.7701        | 18.0  | 334800 | 3.3872          | 0.4128   |
+| 2.7511        | 19.0  | 353400 | 3.4038          | 0.4120   |
+| 2.7292        | 20.0  | 372000 | 3.4114          | 0.4119   |
+
+
+### 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.1707545974.phyl-ling-p01.la.utexas.edu.3434574.0

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