Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-pipps_10k-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_10k-1e-3
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3378
+- Accuracy: 0.4121
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6013        | 1.0   | 18720  | 3.7465          | 0.3588   |
+| 3.3867        | 2.0   | 37440  | 3.4883          | 0.3819   |
+| 3.2589        | 3.0   | 56160  | 3.4083          | 0.3943   |
+| 3.1811        | 4.0   | 74880  | 3.3900          | 0.3986   |
+| 3.1273        | 5.0   | 93600  | 3.3351          | 0.4020   |
+| 3.0824        | 6.0   | 112320 | 3.3293          | 0.4028   |
+| 3.0466        | 7.0   | 131040 | 3.3131          | 0.4065   |
+| 3.0117        | 8.0   | 149760 | 3.2990          | 0.4092   |
+| 2.9899        | 9.0   | 168480 | 3.2979          | 0.4097   |
+| 2.9556        | 10.0  | 187200 | 3.2939          | 0.4105   |
+| 2.9395        | 11.0  | 205920 | 3.2948          | 0.4120   |
+| 2.9155        | 12.0  | 224640 | 3.3005          | 0.4110   |
+| 2.8971        | 13.0  | 243360 | 3.2907          | 0.4126   |
+| 2.8777        | 14.0  | 262080 | 3.2993          | 0.4121   |
+| 2.8546        | 15.0  | 280800 | 3.2985          | 0.4128   |
+| 2.8337        | 16.0  | 299520 | 3.2980          | 0.4130   |
+| 2.8153        | 17.0  | 318240 | 3.3254          | 0.4116   |
+| 2.799         | 18.0  | 336960 | 3.3345          | 0.4114   |
+| 2.7824        | 19.0  | 355680 | 3.3410          | 0.4117   |
+| 2.7614        | 20.0  | 374400 | 3.3378          | 0.4121   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.12.0
+- Tokenizers 0.14.1

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": "4.35.0"
+}

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 size 391376736

runs/Jan28_21-00-34_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1706497587.phyl-ling-p01.la.utexas.edu.2501562.0

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