Praveen0209/gorilla-oracle
Browse files- README.md +53 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +144 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: gorilla-llm/gorilla-openfunctions-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [gorilla-llm/gorilla-openfunctions-v2](https://huggingface.co/gorilla-llm/gorilla-openfunctions-v2) on the None 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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 4
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### Training results
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "gorilla-llm/gorilla-openfunctions-v2",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d01170b3d50cc5ccdd81c6a1e0c1c25315dce3d476e481f6f581aa45c62d352
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size 125872682
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|EOT|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|EOT|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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},
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"rstrip": false,
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"special": true
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}
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},
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"bos_token": "<|begin▁of▁sentence|>",
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"chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Gorilla LLM model, developed by Gorilla LLM, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|EOT|>",
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"legacy": true,
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"model_max_length": 4096,
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"pad_token": "<|end▁of▁sentence|>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": null,
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"use_default_system_prompt": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b3b6e8267414ac3f243729fdb42bcfc010531a63c0331064156b37d3fdb26f6
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size 4472
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