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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-small-distil-v2 |
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results: [] |
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language: |
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- en |
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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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# flan-t5-small-distil-v2 |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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## Model description |
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More information needed |
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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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More information needed |
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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: 0.0005 |
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- train_batch_size: 128 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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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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- num_epochs: 5 |
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## Use |
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### CPU |
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<details> |
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<summary> Click to expand </summary> |
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```python |
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# pip install -q transformers |
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from transformers import pipeline |
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checkpoint = "{model_name}" |
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model = pipeline('text2text-generation', model=checkpoint, use_auth_token=True) |
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input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"' |
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generated_text = generator(input_prompt, max_length=512, do_sample=True, repetition_penalty=1.5)[0]['generated_text'] |
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print("Response": generated_text) |
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``` |
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</details> |
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### GPU |
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<details> |
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<summary> Click to expand </summary> |
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```python |
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# pip install -q transformers |
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from transformers import pipeline |
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checkpoint = "{model_name}" |
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model = pipeline('text2text-generation', model=checkpoint, use_auth_token=True, device=0) |
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input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"' |
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generated_text = generator(input_prompt, max_length=512, do_sample=True, repetition_penalty=1.5)[0]['generated_text'] |
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print("Response": generated_text) |
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``` |
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</details> |
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### Framework versions |
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- Transformers 4.27.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.2.0 |
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- Tokenizers 0.13.2 |
