Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_naans_new-seed_211-1e-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_naans_new-seed_211-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4159
+- Accuracy: 0.4060
+
+## 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: 211
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0574        | 1.0   | 18595  | 4.2668          | 0.3095   |
+| 3.574         | 2.0   | 37190  | 3.7340          | 0.3638   |
+| 3.3998        | 3.0   | 55785  | 3.5946          | 0.3793   |
+| 3.2908        | 4.0   | 74380  | 3.5169          | 0.3871   |
+| 3.2244        | 5.0   | 92975  | 3.4843          | 0.3919   |
+| 3.1723        | 6.0   | 111570 | 3.4423          | 0.3955   |
+| 3.1287        | 7.0   | 130165 | 3.4224          | 0.3987   |
+| 3.0995        | 8.0   | 148760 | 3.4119          | 0.4001   |
+| 3.0666        | 9.0   | 167355 | 3.4093          | 0.4014   |
+| 3.0395        | 10.0  | 185950 | 3.3993          | 0.4024   |
+| 3.0097        | 11.0  | 204545 | 3.4087          | 0.4031   |
+| 2.9923        | 12.0  | 223140 | 3.4030          | 0.4042   |
+| 2.9703        | 13.0  | 241735 | 3.3938          | 0.4047   |
+| 2.9483        | 14.0  | 260330 | 3.4000          | 0.4051   |
+| 2.9286        | 15.0  | 278925 | 3.4069          | 0.4048   |
+| 2.9143        | 16.0  | 297520 | 3.4020          | 0.4056   |
+| 2.8935        | 17.0  | 316115 | 3.4100          | 0.4055   |
+| 2.8782        | 18.0  | 334710 | 3.4071          | 0.4058   |
+| 2.8613        | 19.0  | 353305 | 3.4123          | 0.4062   |
+| 2.8439        | 20.0  | 371900 | 3.4159          | 0.4060   |
+
+
+### 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"
+}

model.safetensors

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runs/Jun17_22-31-03_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718681821.phyl-ling-p01.la.utexas.edu.556175.0

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