Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-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-random_removal-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3829
+- Accuracy: 0.4120
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6058        | 1.0   | 18592  | 3.8079          | 0.3582   |
+| 3.3918        | 2.0   | 37184  | 3.5864          | 0.3803   |
+| 3.264         | 3.0   | 55776  | 3.4837          | 0.3930   |
+| 3.1794        | 4.0   | 74368  | 3.4301          | 0.3984   |
+| 3.1239        | 5.0   | 92960  | 3.3843          | 0.4023   |
+| 3.0814        | 6.0   | 111552 | 3.3626          | 0.4045   |
+| 3.0416        | 7.0   | 130144 | 3.3471          | 0.4076   |
+| 3.0128        | 8.0   | 148736 | 3.3522          | 0.4079   |
+| 2.9879        | 9.0   | 167328 | 3.3497          | 0.4087   |
+| 2.9616        | 10.0  | 185920 | 3.3193          | 0.4123   |
+| 2.941         | 11.0  | 204512 | 3.3381          | 0.4113   |
+| 2.9156        | 12.0  | 223104 | 3.3479          | 0.4114   |
+| 2.8946        | 13.0  | 241696 | 3.3280          | 0.4130   |
+| 2.8744        | 14.0  | 260288 | 3.3445          | 0.4123   |
+| 2.8532        | 15.0  | 278880 | 3.3571          | 0.4119   |
+| 2.831         | 16.0  | 297472 | 3.3629          | 0.4122   |
+| 2.8168        | 17.0  | 316064 | 3.3629          | 0.4121   |
+| 2.7943        | 18.0  | 334656 | 3.3743          | 0.4119   |
+| 2.7777        | 19.0  | 353248 | 3.3781          | 0.4121   |
+| 2.7631        | 20.0  | 371840 | 3.3829          | 0.4120   |
+
+
+### 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/Feb18_17-40-35_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708299669.phyl-ling-p01.la.utexas.edu.4114245.0

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