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-3e-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-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4054
+- Accuracy: 0.4099
+
+## 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: 0.0003
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7446        | 1.0   | 18601  | 3.9130          | 0.3462   |
+| 3.4295        | 2.0   | 37202  | 3.6268          | 0.3752   |
+| 3.2878        | 3.0   | 55803  | 3.5073          | 0.3878   |
+| 3.2031        | 4.0   | 74404  | 3.4630          | 0.3948   |
+| 3.1443        | 5.0   | 93005  | 3.4077          | 0.3994   |
+| 3.0973        | 6.0   | 111606 | 3.3724          | 0.4028   |
+| 3.0617        | 7.0   | 130207 | 3.3562          | 0.4062   |
+| 3.0252        | 8.0   | 148808 | 3.3648          | 0.4059   |
+| 2.994         | 9.0   | 167409 | 3.3582          | 0.4071   |
+| 2.9693        | 10.0  | 186010 | 3.3688          | 0.4075   |
+| 2.9383        | 11.0  | 204611 | 3.3513          | 0.4092   |
+| 2.9188        | 12.0  | 223212 | 3.3659          | 0.4086   |
+| 2.8978        | 13.0  | 241813 | 3.3581          | 0.4097   |
+| 2.8784        | 14.0  | 260414 | 3.3657          | 0.4103   |
+| 2.8592        | 15.0  | 279015 | 3.3693          | 0.4102   |
+| 2.8415        | 16.0  | 297616 | 3.3867          | 0.4092   |
+| 2.8198        | 17.0  | 316217 | 3.3790          | 0.4101   |
+| 2.8013        | 18.0  | 334818 | 3.3924          | 0.4099   |
+| 2.7836        | 19.0  | 353419 | 3.4014          | 0.4098   |
+| 2.7626        | 20.0  | 372020 | 3.4054          | 0.4099   |
+
+
+### 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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 size 391376736