Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_measure_nps_as_singular_new-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_measure_nps_as_singular_new-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4240
+- Accuracy: 0.4068
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0517        | 1.0   | 18602  | 4.2617          | 0.3086   |
+| 3.5614        | 2.0   | 37204  | 3.7325          | 0.3617   |
+| 3.3871        | 3.0   | 55806  | 3.5926          | 0.3794   |
+| 3.2873        | 4.0   | 74408  | 3.4903          | 0.3889   |
+| 3.2166        | 5.0   | 93010  | 3.4705          | 0.3930   |
+| 3.1683        | 6.0   | 111612 | 3.4386          | 0.3965   |
+| 3.122         | 7.0   | 130214 | 3.4230          | 0.3987   |
+| 3.0883        | 8.0   | 148816 | 3.4103          | 0.4020   |
+| 3.059         | 9.0   | 167418 | 3.4161          | 0.4022   |
+| 3.0294        | 10.0  | 186020 | 3.4004          | 0.4039   |
+| 3.0081        | 11.0  | 204622 | 3.4048          | 0.4041   |
+| 2.9849        | 12.0  | 223224 | 3.4068          | 0.4046   |
+| 2.9618        | 13.0  | 241826 | 3.4127          | 0.4048   |
+| 2.9398        | 14.0  | 260428 | 3.4079          | 0.4054   |
+| 2.9226        | 15.0  | 279030 | 3.3963          | 0.4065   |
+| 2.9009        | 16.0  | 297632 | 3.4036          | 0.4068   |
+| 2.8845        | 17.0  | 316234 | 3.4090          | 0.4067   |
+| 2.8685        | 18.0  | 334836 | 3.4054          | 0.4071   |
+| 2.8513        | 19.0  | 353438 | 3.4187          | 0.4069   |
+| 2.8368        | 20.0  | 372040 | 3.4240          | 0.4068   |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

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": "4.38.0"
+}

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 size 391376736

runs/Jun19_17-29-33_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718836538.phyl-ling-p01.la.utexas.edu.899265.0

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