Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: lge_tests_prelim
+  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. -->
+
+# lge_tests_prelim
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6389
+- Accuracy: 0.0
+
+## 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: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- 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: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0      | 0    | 2.6413          | 0.0      |
+| 5.2852        | 0.1948 | 15   | 2.6407          | 0.0      |
+| 5.2837        | 0.3896 | 30   | 2.6399          | 0.0      |
+| 5.2801        | 0.5844 | 45   | 2.6393          | 0.0      |
+| 5.279         | 0.7792 | 60   | 2.6390          | 0.0      |
+| 5.2795        | 0.9740 | 75   | 2.6389          | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.1

config.json

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+{
+  "architectures": [
+    "NanoGPT"
+  ],
+  "bias": true,
+  "block_size": 1024,
+  "dropout": 0.0,
+  "model_type": "nanogpt",
+  "n_embd": 5,
+  "n_head": 1,
+  "n_layer": 2,
+  "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 6000

training_args.bin

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+size 5240