not-lain/MedicalQA
Browse files- README.md +2 -2
- adapter_config.json +6 -6
- adapter_model.safetensors +1 -1
- runs/Mar27_23-17-06_3c792cdb8d0c/events.out.tfevents.1711581429.3c792cdb8d0c.1465.0 +3 -0
- special_tokens_map.json +4 -0
- tokenizer.json +2 -2
- tokenizer_config.json +21 -0
- training_args.bin +1 -1
README.md
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@@ -5,7 +5,7 @@ tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b
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model-index:
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- name: MedicalQA
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results: []
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# MedicalQA
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
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## Model description
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- trl
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b-it
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model-index:
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- name: MedicalQA
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results: []
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# MedicalQA
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
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## Model description
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2b",
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"up_proj",
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"gate_proj",
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"k_proj",
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"v_proj",
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"down_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2b-it",
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"q_proj",
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"gate_proj",
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"down_proj",
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"o_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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size 39256456
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runs/Mar27_23-17-06_3c792cdb8d0c/events.out.tfevents.1711581429.3c792cdb8d0c.1465.0
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size 7439
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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{
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"additional_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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tokenizer.json
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tokenizer_config.json
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<eos>",
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"legacy": null,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"106": {
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"content": "<start_of_turn>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"107": {
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"content": "<end_of_turn>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"bos_token": "<bos>",
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"chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<eos>",
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"legacy": null,
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training_args.bin
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