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-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_measure_nps_as_singular_new-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4116
+- Accuracy: 0.4111
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6071        | 1.0   | 18602  | 3.7886          | 0.3573   |
+| 3.379         | 2.0   | 37204  | 3.5653          | 0.3798   |
+| 3.2515        | 3.0   | 55806  | 3.4692          | 0.3918   |
+| 3.1729        | 4.0   | 74408  | 3.4193          | 0.3983   |
+| 3.1139        | 5.0   | 93010  | 3.3907          | 0.4026   |
+| 3.0709        | 6.0   | 111612 | 3.3642          | 0.4043   |
+| 3.0297        | 7.0   | 130214 | 3.3545          | 0.4067   |
+| 2.9988        | 8.0   | 148816 | 3.3596          | 0.4080   |
+| 2.9717        | 9.0   | 167418 | 3.3723          | 0.4087   |
+| 2.9432        | 10.0  | 186020 | 3.3579          | 0.4093   |
+| 2.9217        | 11.0  | 204622 | 3.3701          | 0.4098   |
+| 2.8986        | 12.0  | 223224 | 3.3646          | 0.4103   |
+| 2.8745        | 13.0  | 241826 | 3.3676          | 0.4105   |
+| 2.8518        | 14.0  | 260428 | 3.3750          | 0.4110   |
+| 2.8328        | 15.0  | 279030 | 3.3722          | 0.4111   |
+| 2.8089        | 16.0  | 297632 | 3.3797          | 0.4115   |
+| 2.7911        | 17.0  | 316234 | 3.3882          | 0.4109   |
+| 2.773         | 18.0  | 334836 | 3.3951          | 0.4115   |
+| 2.7517        | 19.0  | 353438 | 3.4023          | 0.4112   |
+| 2.7342        | 20.0  | 372040 | 3.4116          | 0.4111   |
+
+
+### 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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 size 391376736

runs/Jun18_18-45-08_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718754671.phyl-ling-p01.la.utexas.edu.752720.0

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