Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-seed_1024-1e-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_indef_articles_with_pl_nouns_removal-seed_1024-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4006
+- Accuracy: 0.4110
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6013        | 1.0   | 18600  | 3.7573          | 0.3598   |
+| 3.3813        | 2.0   | 37200  | 3.5688          | 0.3805   |
+| 3.2541        | 3.0   | 55800  | 3.4489          | 0.3922   |
+| 3.174         | 4.0   | 74400  | 3.4158          | 0.3980   |
+| 3.1166        | 5.0   | 93000  | 3.3767          | 0.4028   |
+| 3.0777        | 6.0   | 111600 | 3.3729          | 0.4036   |
+| 3.0372        | 7.0   | 130200 | 3.3464          | 0.4071   |
+| 3.0083        | 8.0   | 148800 | 3.3503          | 0.4081   |
+| 2.9762        | 9.0   | 167400 | 3.3317          | 0.4098   |
+| 2.9515        | 10.0  | 186000 | 3.3434          | 0.4088   |
+| 2.9338        | 11.0  | 204600 | 3.3526          | 0.4102   |
+| 2.9063        | 12.0  | 223200 | 3.3577          | 0.4095   |
+| 2.8871        | 13.0  | 241800 | 3.3493          | 0.4101   |
+| 2.8654        | 14.0  | 260400 | 3.3641          | 0.4106   |
+| 2.8465        | 15.0  | 279000 | 3.3597          | 0.4115   |
+| 2.8233        | 16.0  | 297600 | 3.3748          | 0.4106   |
+| 2.8071        | 17.0  | 316200 | 3.3754          | 0.4113   |
+| 2.7899        | 18.0  | 334800 | 3.3833          | 0.4111   |
+| 2.7669        | 19.0  | 353400 | 3.3913          | 0.4112   |
+| 2.7513        | 20.0  | 372000 | 3.4006          | 0.4110   |
+
+
+### 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/Feb12_10-52-00_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707757161.phyl-ling-p01.la.utexas.edu.3569452.0

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