Upload Tokenizer + adapter
Browse files- README.md +41 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- merges.txt +0 -0
- special_tokens_map.json +21 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
- vocab.json +0 -0
README.md
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---
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library_name: peft
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base_model: Qwen/Qwen1.5-0.5B-Chat
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- chat
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widget:
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- text: "What is the sum of the first 10 positive integers?"
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---
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# Qwen1.5-0.5B-Chat with EPFL DPO fine-tuning
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Qwen1.5-0.5B-Chat DPO fine-tuned on the Orca Math dataset that consists of ~200K grade school math word problems and open-ended and multiple choice questions from different EPFL courses.
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## Model Details
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### Model Description
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The model was developed during the course Modern Natural Language Processing (CS-552).
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Its aim is to fine-tune the base model (Qwen/Qwen1.5-0.5B-Chat) to accurately
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answer open-ended and multiple-choice questions from Orca Math dataset and various EPFL courses.
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- **Developed by:** Emma Lise Boehly, Ahmed Aziz Ben Haj Hmida and Jan Kokla
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- **Finetuned from model:** Qwen/Qwen1.5-0.5B-Chat
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## Training Details
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### Training Data
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HuggingFace dataset : microsoft/orca-math-word-problems-200k
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The EPFL dataset is not publicly available.
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### Training Procedure
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#### Training Hyperparameters
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- **Training regime:** cDPO with bf16 mixed precision, $\beta=0.2$, $lr=3 \times 10^{-6}$, and $label_smoothing=0.2$
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- PEFT 0.10.0
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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": "Qwen/Qwen1.5-0.5B-Chat",
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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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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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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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"k_proj",
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"down_proj",
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"gate_proj",
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"up_proj",
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b707b1785f4ceee6a62451d06b86ae5ee898dcdde4fa60b92cba75bf5607957d
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size 15183400
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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merges.txt
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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"content": "<|im_end|>",
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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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},
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"eos_token": {
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"content": "<|im_end|>",
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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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},
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"pad_token": "<|im_end|>"
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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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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"151644": {
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"content": "<|im_start|>",
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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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"151645": {
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"content": "<|im_end|>",
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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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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": "<|im_end|>",
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|im_end|>",
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"return_tensors": "pt",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
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