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Model: yasutoshi-lab/gpt2-verification
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- wikitext
+metrics:
+- accuracy
+model-index:
+- name: gpt2-verification
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: wikitext wikitext-2-raw-v1
+      type: wikitext
+      args: wikitext-2-raw-v1
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.18546350602802217
+---
+
+<!-- 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. -->
+
+# gpt2-verification
+
+This model utilizes the GPT2 architecture and GPT2 tokenizer, and was trained from scratch using wikitext-2-raw-v1.
+
+It achieves the following results on the evaluation set:
+- Loss: 6.0571
+- Accuracy: 0.1855
+
+## Model Train Command
+
+```
+CUDA_VISIBLE_DEVICES=0 uv run python examples/pytorch/language-modeling/run_clm.py \
+  --model_type gpt2 \
+  --tokenizer_name gpt2 \
+  --dataset_name wikitext \
+  --dataset_config_name wikitext-2-raw-v1 \
+  --per_device_train_batch_size 2 \
+  --per_device_eval_batch_size 2 \
+  --num_train_epochs 3 \
+  --do_train \
+  --do_eval \
+  --output_dir ./output/gpt2-test \
+  --save_steps 500 \
+  --logging_steps 100 \
+  --push_to_hub \
+  --hub_model_id "yasutoshi-lab/gpt2-verification"
+  --hub_private_repo true \
+  --hub_strategy "end"
+```
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.6.0.dev0
+- Pytorch 2.11.0+cu128
+- Datasets 4.8.4
+- Tokenizers 0.22.2