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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi-2-FCRL-v0.1 |
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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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# phi-2-FCRL-v0.1 |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on [vicgalle/alpaca-gpt4](https://huggingface.co/vicgalle/alpaca-gpt4), [nRuaif/OpenOrca-GPT3.5](https://huggingface.co/nRuaif/OpenOrca-GPT3.5), [sahil2801/CodeAlpaca-20k](https://huggingface.co/sahil2801/CodeAlpaca-20k) |
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### Quick start |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("npvinHnivqn/phi-2-FCRL-v0.1", trust_remote_code=True, torch_dtype=torch.float32) |
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tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2-FCRL-v0.1", trust_remote_code=True) |
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inputs = tokenizer('''<SYSTEM>: You are a very good and helpful chatbot, you can answer almost every questions. <|USER|>: Write a short story about a curious cat <|BOT|>:''', return_tensors="pt", return_attention_mask=False) |
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outputs = model.generate(**inputs, max_length=512) |
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text = tokenizer.batch_decode(outputs)[0] |
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print(text) |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
