Model save

README.md

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+---
+library_name: transformers
+base_model: mtzig/add_corrupt_1-16-17-advSeed-892342
+tags:
+- generated_from_trainer
+model-index:
+- name: add_from_corrupt_lr1e-5_adamw
+  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. -->
+
+# add_from_corrupt_lr1e-5_adamw
+
+This model is a fine-tuned version of [mtzig/add_corrupt_1-16-17-advSeed-892342](https://huggingface.co/mtzig/add_corrupt_1-16-17-advSeed-892342) on an unknown dataset.
+
+## 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: 1e-05
+- train_batch_size: 128
+- eval_batch_size: 512
+- seed: 23452399
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- training_steps: 250
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.1

config.json

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+{
+  "_name_or_path": "mtzig/add_corrupt_1-16-17-advSeed-892342",
+  "architectures": [
+    "NanoGPT"
+  ],
+  "bias": true,
+  "block_size": 256,
+  "dropout": 0.0,
+  "mlp_dim": 4,
+  "model_type": "nanogpt",
+  "n_embd": 384,
+  "n_head": 6,
+  "n_layer": 6,
+  "nonlinearity": "RELU",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.0",
+  "use_NoPE": true,
+  "use_layernorm": true,
+  "vocab_size": 14
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.46.0"
+}

model.safetensors

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+size 42640744

training_args.bin

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