Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-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-indef_articles_with_pl_nouns-removal-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4203
+- Accuracy: 0.4069
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0459        | 1.0   | 18601  | 4.2512          | 0.3119   |
+| 3.5647        | 2.0   | 37202  | 3.7353          | 0.3623   |
+| 3.3872        | 3.0   | 55803  | 3.5881          | 0.3793   |
+| 3.2888        | 4.0   | 74404  | 3.5327          | 0.3882   |
+| 3.2221        | 5.0   | 93005  | 3.4746          | 0.3931   |
+| 3.1699        | 6.0   | 111606 | 3.4427          | 0.3965   |
+| 3.1314        | 7.0   | 130207 | 3.4235          | 0.3991   |
+| 3.0928        | 8.0   | 148808 | 3.4092          | 0.4010   |
+| 3.0595        | 9.0   | 167409 | 3.4074          | 0.4025   |
+| 3.0344        | 10.0  | 186010 | 3.4222          | 0.4023   |
+| 3.0028        | 11.0  | 204611 | 3.4034          | 0.4043   |
+| 2.9831        | 12.0  | 223212 | 3.4022          | 0.4043   |
+| 2.9626        | 13.0  | 241813 | 3.4060          | 0.4054   |
+| 2.9442        | 14.0  | 260414 | 3.4008          | 0.4060   |
+| 2.9257        | 15.0  | 279015 | 3.4016          | 0.4065   |
+| 2.909         | 16.0  | 297616 | 3.4037          | 0.4065   |
+| 2.8892        | 17.0  | 316217 | 3.4125          | 0.4063   |
+| 2.872         | 18.0  | 334818 | 3.4132          | 0.4066   |
+| 2.8568        | 19.0  | 353419 | 3.4158          | 0.4069   |
+| 2.8385        | 20.0  | 372020 | 3.4203          | 0.4069   |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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": "4.36.0"
+}

model.safetensors

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+oid sha256:f8a6fdb9c3da4e445e550fd39c4b242807e5e0665e2a5f1ef30ad554c5337e6a
 size 391376736