Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_naans_new-seed_1024-1e-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_naans_new-seed_1024-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4373
+- Accuracy: 0.4072
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 1024
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0553        | 1.0   | 18595  | 4.2752          | 0.3077   |
+| 3.5587        | 2.0   | 37190  | 3.7501          | 0.3633   |
+| 3.3865        | 3.0   | 55785  | 3.5884          | 0.3815   |
+| 3.2906        | 4.0   | 74380  | 3.5054          | 0.3891   |
+| 3.2202        | 5.0   | 92975  | 3.4769          | 0.3943   |
+| 3.1699        | 6.0   | 111570 | 3.4426          | 0.3977   |
+| 3.1232        | 7.0   | 130165 | 3.4478          | 0.3994   |
+| 3.091         | 8.0   | 148760 | 3.4243          | 0.4014   |
+| 3.0613        | 9.0   | 167355 | 3.4169          | 0.4030   |
+| 3.0322        | 10.0  | 185950 | 3.4142          | 0.4050   |
+| 3.0107        | 11.0  | 204545 | 3.4052          | 0.4049   |
+| 2.9844        | 12.0  | 223140 | 3.4128          | 0.4053   |
+| 2.9671        | 13.0  | 241735 | 3.4150          | 0.4062   |
+| 2.9477        | 14.0  | 260330 | 3.4174          | 0.4062   |
+| 2.9272        | 15.0  | 278925 | 3.4275          | 0.4067   |
+| 2.9088        | 16.0  | 297520 | 3.4271          | 0.4068   |
+| 2.8915        | 17.0  | 316115 | 3.4245          | 0.4071   |
+| 2.872         | 18.0  | 334710 | 3.4262          | 0.4070   |
+| 2.8514        | 19.0  | 353305 | 3.4322          | 0.4073   |
+| 2.8467        | 20.0  | 371900 | 3.4373          | 0.4072   |
+
+
+### 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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runs/Jun18_21-19-07_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718763920.phyl-ling-p01.la.utexas.edu.761819.0

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