Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-random_removal-3e-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-random_removal-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4045
+- Accuracy: 0.4106
+
+## 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: 0.0003
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7431        | 1.0   | 18586  | 3.8860          | 0.3481   |
+| 3.4382        | 2.0   | 37172  | 3.6288          | 0.3759   |
+| 3.2958        | 3.0   | 55758  | 3.5019          | 0.3891   |
+| 3.2055        | 4.0   | 74344  | 3.4541          | 0.3957   |
+| 3.1533        | 5.0   | 92930  | 3.4028          | 0.4006   |
+| 3.1056        | 6.0   | 111516 | 3.3805          | 0.4035   |
+| 3.0671        | 7.0   | 130102 | 3.3833          | 0.4042   |
+| 3.0331        | 8.0   | 148688 | 3.3669          | 0.4069   |
+| 3.0072        | 9.0   | 167274 | 3.3616          | 0.4083   |
+| 2.9771        | 10.0  | 185860 | 3.3777          | 0.4078   |
+| 2.9534        | 11.0  | 204446 | 3.3741          | 0.4089   |
+| 2.9279        | 12.0  | 223032 | 3.3845          | 0.4092   |
+| 2.9063        | 13.0  | 241618 | 3.3689          | 0.4105   |
+| 2.8913        | 14.0  | 260204 | 3.3711          | 0.4105   |
+| 2.8704        | 15.0  | 278790 | 3.3779          | 0.4099   |
+| 2.8491        | 16.0  | 297376 | 3.3760          | 0.4112   |
+| 2.83          | 17.0  | 315962 | 3.3752          | 0.4116   |
+| 2.8136        | 18.0  | 334548 | 3.3912          | 0.4108   |
+| 2.7924        | 19.0  | 353134 | 3.3984          | 0.4107   |
+| 2.7792        | 20.0  | 371720 | 3.4045          | 0.4106   |
+
+
+### 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/Feb03_15-23-44_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1706995785.phyl-ling-p01.la.utexas.edu.3077158.0

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