Create README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: yt_videos_comments
+ 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. -->
+
+# youtube_video comment generation
+
+This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0918
+- Accuracy: 0.6277
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1201 | 1.53 | 500 | 2.1152 | 0.6220 |
+| 2.016 | 3.07 | 1000 | 2.0957 | 0.6254 |
+| 1.9383 | 4.6 | 1500 | 2.0898 | 0.6271 |
+| 1.8823 | 6.14 | 2000 | 2.0918 | 0.6277 |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 2.0.0-rc1
+- Datasets 2.11.0
+- Tokenizers 0.13.3