Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-pipps_removal-seed_211-1e-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-pipps_removal-seed_211-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4007
+- Accuracy: 0.4100
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6079        | 1.0   | 18593  | 3.8149          | 0.3576   |
+| 3.3841        | 2.0   | 37186  | 3.5902          | 0.3792   |
+| 3.2548        | 3.0   | 55779  | 3.4807          | 0.3918   |
+| 3.1845        | 4.0   | 74372  | 3.4469          | 0.3968   |
+| 3.1246        | 5.0   | 92965  | 3.4169          | 0.4014   |
+| 3.0823        | 6.0   | 111558 | 3.3873          | 0.4035   |
+| 3.0457        | 7.0   | 130151 | 3.3857          | 0.4053   |
+| 3.0112        | 8.0   | 148744 | 3.3520          | 0.4070   |
+| 2.9878        | 9.0   | 167337 | 3.3733          | 0.4072   |
+| 2.96          | 10.0  | 185930 | 3.3503          | 0.4083   |
+| 2.938         | 11.0  | 204523 | 3.3664          | 0.4084   |
+| 2.9158        | 12.0  | 223116 | 3.3660          | 0.4093   |
+| 2.8919        | 13.0  | 241709 | 3.3564          | 0.4101   |
+| 2.8735        | 14.0  | 260302 | 3.3567          | 0.4107   |
+| 2.8562        | 15.0  | 278895 | 3.3675          | 0.4100   |
+| 2.8344        | 16.0  | 297488 | 3.3702          | 0.4103   |
+| 2.814         | 17.0  | 316081 | 3.3808          | 0.4101   |
+| 2.7973        | 18.0  | 334674 | 3.3935          | 0.4098   |
+| 2.7732        | 19.0  | 353267 | 3.3887          | 0.4104   |
+| 2.7585        | 20.0  | 371860 | 3.4007          | 0.4100   |
+
+
+### 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"
+}

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runs/Feb01_16-03-44_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1706825383.phyl-ling-p01.la.utexas.edu.2961209.0

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