Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_naans_new-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-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4162
+- Accuracy: 0.4067
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0514        | 1.0   | 18595  | 4.2368          | 0.3093   |
+| 3.5633        | 2.0   | 37190  | 3.7425          | 0.3637   |
+| 3.3923        | 3.0   | 55785  | 3.5711          | 0.3809   |
+| 3.2852        | 4.0   | 74380  | 3.5150          | 0.3880   |
+| 3.2225        | 5.0   | 92975  | 3.4473          | 0.3934   |
+| 3.1717        | 6.0   | 111570 | 3.4466          | 0.3969   |
+| 3.128         | 7.0   | 130165 | 3.4203          | 0.3993   |
+| 3.0952        | 8.0   | 148760 | 3.3999          | 0.4015   |
+| 3.0633        | 9.0   | 167355 | 3.4023          | 0.4025   |
+| 3.0408        | 10.0  | 185950 | 3.4020          | 0.4035   |
+| 3.0104        | 11.0  | 204545 | 3.3966          | 0.4037   |
+| 2.9874        | 12.0  | 223140 | 3.3944          | 0.4045   |
+| 2.9712        | 13.0  | 241735 | 3.3882          | 0.4057   |
+| 2.9451        | 14.0  | 260330 | 3.3960          | 0.4058   |
+| 2.9277        | 15.0  | 278925 | 3.4037          | 0.4061   |
+| 2.9085        | 16.0  | 297520 | 3.4048          | 0.4062   |
+| 2.8914        | 17.0  | 316115 | 3.4033          | 0.4061   |
+| 2.8772        | 18.0  | 334710 | 3.4094          | 0.4066   |
+| 2.8635        | 19.0  | 353305 | 3.4112          | 0.4067   |
+| 2.8506        | 20.0  | 371900 | 3.4162          | 0.4067   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.19.1

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": "4.40.1"
+}

model.safetensors

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 size 391376736

runs/Jun04_09-08-08_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1717510473.phyl-ling-p01.la.utexas.edu.147701.0

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