Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_other_det_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-only_other_det_removal-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4419
+- Accuracy: 0.4081
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7368        | 1.0   | 18597  | 3.9162          | 0.3452   |
+| 3.4348        | 2.0   | 37194  | 3.6327          | 0.3748   |
+| 3.2919        | 3.0   | 55791  | 3.5084          | 0.3900   |
+| 3.2086        | 4.0   | 74388  | 3.4502          | 0.3956   |
+| 3.1474        | 5.0   | 92985  | 3.4235          | 0.3995   |
+| 3.1012        | 6.0   | 111582 | 3.4031          | 0.4020   |
+| 3.0638        | 7.0   | 130179 | 3.4128          | 0.4030   |
+| 3.0262        | 8.0   | 148776 | 3.3998          | 0.4046   |
+| 3.0016        | 9.0   | 167373 | 3.3731          | 0.4070   |
+| 2.9715        | 10.0  | 185970 | 3.4058          | 0.4062   |
+| 2.9481        | 11.0  | 204567 | 3.3875          | 0.4069   |
+| 2.9243        | 12.0  | 223164 | 3.4070          | 0.4070   |
+| 2.9047        | 13.0  | 241761 | 3.4015          | 0.4079   |
+| 2.8797        | 14.0  | 260358 | 3.4114          | 0.4077   |
+| 2.8651        | 15.0  | 278955 | 3.4072          | 0.4083   |
+| 2.8434        | 16.0  | 297552 | 3.4240          | 0.4075   |
+| 2.8255        | 17.0  | 316149 | 3.4179          | 0.4083   |
+| 2.8036        | 18.0  | 334746 | 3.4256          | 0.4082   |
+| 2.7888        | 19.0  | 353343 | 3.4363          | 0.4083   |
+| 2.7701        | 20.0  | 371940 | 3.4419          | 0.4081   |
+
+
+### 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/Feb07_08-24-28_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707316214.phyl-ling-p01.la.utexas.edu.3266409.0

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