update model card README.md

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: ET24_pangu_gpt2
+  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. -->
+
+# ET24_pangu_gpt2
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2858
+
+## 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: 0.0005
+- train_batch_size: 70
+- eval_batch_size: 55
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 560
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.8598        | 0.3   | 2000  | 2.9015          |
+| 2.6414        | 0.59  | 4000  | 2.6427          |
+| 2.4782        | 0.89  | 6000  | 2.5011          |
+| 2.3629        | 1.18  | 8000  | 2.3990          |
+| 2.2815        | 1.48  | 10000 | 2.3255          |
+| 2.231         | 1.77  | 12000 | 2.2858          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.13.3