Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-no_prototypical-seed_211-3e-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-no_prototypical-seed_211-3e-4
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4074
+- Accuracy: 0.4086
+
+## 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: 211
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7439        | 1.0   | 18593  | 3.9121          | 0.3459   |
+| 3.438         | 2.0   | 37186  | 3.6178          | 0.3756   |
+| 3.2947        | 3.0   | 55779  | 3.4715          | 0.3901   |
+| 3.2076        | 4.0   | 74372  | 3.4140          | 0.3965   |
+| 3.1477        | 5.0   | 92965  | 3.3983          | 0.3996   |
+| 3.1015        | 6.0   | 111558 | 3.3692          | 0.4021   |
+| 3.0662        | 7.0   | 130151 | 3.3772          | 0.4036   |
+| 3.0315        | 8.0   | 148744 | 3.3735          | 0.4036   |
+| 3.0003        | 9.0   | 167337 | 3.3651          | 0.4057   |
+| 2.9732        | 10.0  | 185930 | 3.3708          | 0.4063   |
+| 2.9496        | 11.0  | 204523 | 3.3636          | 0.4073   |
+| 2.9243        | 12.0  | 223116 | 3.3660          | 0.4085   |
+| 2.9041        | 13.0  | 241709 | 3.3552          | 0.4089   |
+| 2.8866        | 14.0  | 260302 | 3.3649          | 0.4087   |
+| 2.8654        | 15.0  | 278895 | 3.3720          | 0.4086   |
+| 2.846         | 16.0  | 297488 | 3.3842          | 0.4086   |
+| 2.8252        | 17.0  | 316081 | 3.3945          | 0.4084   |
+| 2.8084        | 18.0  | 334674 | 3.4002          | 0.4086   |
+| 2.7871        | 19.0  | 353267 | 3.3996          | 0.4087   |
+| 2.7718        | 20.0  | 371860 | 3.4074          | 0.4086   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.12.0
+- Tokenizers 0.14.1

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": "4.35.0"
+}

model.safetensors

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+oid sha256:9aea75e8464d7e88eb740afa3ff84baf5b28d0a5a96a5494194f94dc94783dc3
 size 391376736