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-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-only_other_det_removal-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4193
+- Accuracy: 0.4116
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6043        | 1.0   | 18597  | 3.7893          | 0.3595   |
+| 3.3863        | 2.0   | 37194  | 3.5796          | 0.3811   |
+| 3.2568        | 3.0   | 55791  | 3.4811          | 0.3933   |
+| 3.1802        | 4.0   | 74388  | 3.4316          | 0.3992   |
+| 3.1237        | 5.0   | 92985  | 3.3913          | 0.4033   |
+| 3.0797        | 6.0   | 111582 | 3.4136          | 0.4042   |
+| 3.0447        | 7.0   | 130179 | 3.3948          | 0.4058   |
+| 3.0084        | 8.0   | 148776 | 3.3772          | 0.4079   |
+| 2.985         | 9.0   | 167373 | 3.3589          | 0.4101   |
+| 2.9555        | 10.0  | 185970 | 3.3777          | 0.4096   |
+| 2.9324        | 11.0  | 204567 | 3.3606          | 0.4110   |
+| 2.9092        | 12.0  | 223164 | 3.3722          | 0.4112   |
+| 2.89          | 13.0  | 241761 | 3.3737          | 0.4114   |
+| 2.8651        | 14.0  | 260358 | 3.3934          | 0.4110   |
+| 2.8499        | 15.0  | 278955 | 3.3911          | 0.4116   |
+| 2.8292        | 16.0  | 297552 | 3.3942          | 0.4114   |
+| 2.8105        | 17.0  | 316149 | 3.4117          | 0.4113   |
+| 2.7877        | 18.0  | 334746 | 3.4073          | 0.4116   |
+| 2.773         | 19.0  | 353343 | 3.4169          | 0.4115   |
+| 2.7535        | 20.0  | 371940 | 3.4193          | 0.4116   |
+
+
+### 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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runs/Feb05_11-08-31_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707153298.phyl-ling-p01.la.utexas.edu.3168584.0

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