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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: yt_videos_comments |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# youtube video comment generation |
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This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the [US_Video_Comment](https://huggingface.co/datasets/parseny/US_Video_Comment) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0918 |
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- Accuracy: 0.6277 |
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## Model description and usage |
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This model can create a comment on a provided Youtube video title. To test this model you can visit [space](https://huggingface.co/spaces/parseny/youtube_comment_generation) |
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but most likely it is down due to tariffs of hosting. |
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You also can check how the model works in the Inference API, just insert the Youtube video title. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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Dataset consisted of English Youtube videos titles and comments to them. Dataset link [US_Video_Comment](https://huggingface.co/datasets/parseny/US_Video_Comment) |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.1201 | 1.53 | 500 | 2.1152 | 0.6220 | |
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| 2.016 | 3.07 | 1000 | 2.0957 | 0.6254 | |
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| 1.9383 | 4.6 | 1500 | 2.0898 | 0.6271 | |
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| 1.8823 | 6.14 | 2000 | 2.0918 | 0.6277 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 2.0.0-rc1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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