Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_211-1e-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-removal-seed_211-1e-4
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4163
+- Accuracy: 0.4076
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0497        | 1.0   | 18595  | 4.2852          | 0.3080   |
+| 3.565         | 2.0   | 37190  | 3.7283          | 0.3633   |
+| 3.3896        | 3.0   | 55785  | 3.5917          | 0.3804   |
+| 3.2893        | 4.0   | 74380  | 3.5098          | 0.3893   |
+| 3.2194        | 5.0   | 92975  | 3.4496          | 0.3948   |
+| 3.1724        | 6.0   | 111570 | 3.4233          | 0.3982   |
+| 3.1258        | 7.0   | 130165 | 3.4181          | 0.4005   |
+| 3.0958        | 8.0   | 148760 | 3.4253          | 0.4011   |
+| 3.0662        | 9.0   | 167355 | 3.4222          | 0.4023   |
+| 3.0368        | 10.0  | 185950 | 3.4052          | 0.4037   |
+| 3.0083        | 11.0  | 204545 | 3.3978          | 0.4047   |
+| 2.9889        | 12.0  | 223140 | 3.3996          | 0.4056   |
+| 2.9622        | 13.0  | 241735 | 3.3896          | 0.4065   |
+| 2.9419        | 14.0  | 260330 | 3.3847          | 0.4072   |
+| 2.9292        | 15.0  | 278925 | 3.4022          | 0.4065   |
+| 2.9096        | 16.0  | 297520 | 3.4086          | 0.4071   |
+| 2.893         | 17.0  | 316115 | 3.4042          | 0.4074   |
+| 2.872         | 18.0  | 334710 | 3.4126          | 0.4074   |
+| 2.8563        | 19.0  | 353305 | 3.4111          | 0.4076   |
+| 2.8424        | 20.0  | 371900 | 3.4163          | 0.4076   |
+
+
+### 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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 size 391376736