Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_anans_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_anans_new-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4007
+- Accuracy: 0.4074
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0511        | 1.0   | 18595  | 4.2394          | 0.3093   |
+| 3.5633        | 2.0   | 37190  | 3.7416          | 0.3637   |
+| 3.3921        | 3.0   | 55785  | 3.5710          | 0.3807   |
+| 3.2853        | 4.0   | 74380  | 3.5125          | 0.3883   |
+| 3.2219        | 5.0   | 92975  | 3.4521          | 0.3931   |
+| 3.1716        | 6.0   | 111570 | 3.4476          | 0.3967   |
+| 3.1281        | 7.0   | 130165 | 3.4214          | 0.3994   |
+| 3.0951        | 8.0   | 148760 | 3.4083          | 0.4018   |
+| 3.0631        | 9.0   | 167355 | 3.3979          | 0.4024   |
+| 3.0407        | 10.0  | 185950 | 3.3901          | 0.4042   |
+| 3.0103        | 11.0  | 204545 | 3.3945          | 0.4041   |
+| 2.9879        | 12.0  | 223140 | 3.3859          | 0.4055   |
+| 2.9716        | 13.0  | 241735 | 3.3779          | 0.4063   |
+| 2.9449        | 14.0  | 260330 | 3.3843          | 0.4066   |
+| 2.9277        | 15.0  | 278925 | 3.3808          | 0.4074   |
+| 2.9087        | 16.0  | 297520 | 3.3866          | 0.4070   |
+| 2.8913        | 17.0  | 316115 | 3.3875          | 0.4071   |
+| 2.8771        | 18.0  | 334710 | 3.3993          | 0.4071   |
+| 2.8633        | 19.0  | 353305 | 3.3992          | 0.4073   |
+| 2.8505        | 20.0  | 371900 | 3.4007          | 0.4074   |
+
+
+### 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_09-08-10_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1717510460.phyl-ling-p01.la.utexas.edu.147713.0

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