Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_measure_nps_as_singular_removal-seed_1024-1e-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_measure_nps_as_singular_removal-seed_1024-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4259
+- Accuracy: 0.4097
+
+## 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: 1024
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6017        | 1.0   | 18600  | 3.7683          | 0.3593   |
+| 3.3799        | 2.0   | 37200  | 3.5935          | 0.3790   |
+| 3.2546        | 3.0   | 55800  | 3.4823          | 0.3915   |
+| 3.1737        | 4.0   | 74400  | 3.4548          | 0.3978   |
+| 3.1178        | 5.0   | 93000  | 3.4163          | 0.4014   |
+| 3.0736        | 6.0   | 111600 | 3.4017          | 0.4038   |
+| 3.0385        | 7.0   | 130200 | 3.3798          | 0.4057   |
+| 3.0068        | 8.0   | 148800 | 3.3988          | 0.4060   |
+| 2.9774        | 9.0   | 167400 | 3.3728          | 0.4074   |
+| 2.9558        | 10.0  | 186000 | 3.3695          | 0.4087   |
+| 2.9289        | 11.0  | 204600 | 3.3649          | 0.4094   |
+| 2.9058        | 12.0  | 223200 | 3.3604          | 0.4095   |
+| 2.8805        | 13.0  | 241800 | 3.3801          | 0.4098   |
+| 2.8621        | 14.0  | 260400 | 3.3871          | 0.4095   |
+| 2.8423        | 15.0  | 279000 | 3.3872          | 0.4096   |
+| 2.8216        | 16.0  | 297600 | 3.3996          | 0.4097   |
+| 2.8042        | 17.0  | 316200 | 3.3987          | 0.4101   |
+| 2.7834        | 18.0  | 334800 | 3.4020          | 0.4101   |
+| 2.7643        | 19.0  | 353400 | 3.4199          | 0.4097   |
+| 2.7463        | 20.0  | 372000 | 3.4259          | 0.4097   |
+
+
+### 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_10-19-17_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707582321.phyl-ling-p01.la.utexas.edu.3455016.0

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