Upload folder using huggingface_hub
Browse files- README.md +45 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +13 -0
- runs/May01_06-11-25_f17c613a6fae/events.out.tfevents.1714543959.f17c613a6fae.229.0 +2 -2
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +130 -0
- training_args.bin +3 -0
- training_params.json +47 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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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": "microsoft/Phi-3-mini-4k-instruct",
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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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"down_proj",
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"gate_up_proj",
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"qkv_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 sha256:0ed72d375138254410378b1474aad6c28c49b16867114ab78c4b6f3ab04f67c8
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size 887400856
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added_tokens.json
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{
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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"<|placeholder4|>": 32005,
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"<|placeholder5|>": 32008,
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"<|placeholder6|>": 32009,
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"<|system|>": 32006,
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"<|user|>": 32010
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}
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runs/May01_06-11-25_f17c613a6fae/events.out.tfevents.1714543959.f17c613a6fae.229.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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oid sha256:9a0154de872a2a0af09b5db5b94d47e80890cecd65da75e15dcf4a784340847a
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size 12454
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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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": "<|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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},
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"pad_token": {
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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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},
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"unk_token": {
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"content": "<unk>",
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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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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"special": true
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},
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"1": {
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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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"2": {
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"content": "</s>",
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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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"32000": {
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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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"32001": {
|
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"content": "<|assistant|>",
|
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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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"32002": {
|
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"content": "<|placeholder1|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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|
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"special": true
|
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},
|
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"32003": {
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"content": "<|placeholder2|>",
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"lstrip": false,
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|
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"special": true
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},
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"32004": {
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"content": "<|placeholder3|>",
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"normalized": false,
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},
|
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|
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|
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"special": true
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},
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"single_word": false,
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"special": true
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},
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"32007": {
|
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"content": "<|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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"32008": {
|
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"content": "<|placeholder5|>",
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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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"32009": {
|
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"content": "<|placeholder6|>",
|
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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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"32010": {
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"content": "<|user|>",
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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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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "<|endoftext|>",
|
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"legacy": false,
|
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"model_max_length": 2048,
|
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"pad_token": "<|endoftext|>",
|
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"padding_side": "right",
|
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"sp_model_kwargs": {},
|
127 |
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
|
129 |
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"use_default_system_prompt": false
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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:d8396d26690ef317c8c78a6fabcddb4f1a9746691d5b4191bda127105fd1d1b8
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size 5048
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training_params.json
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{
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"model": "microsoft/Phi-3-mini-4k-instruct",
|
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"project_name": "phi-3-mini-4k-idnstruct-finetune-guanaco",
|
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"data_path": "timdettmers/openassistant-guanaco",
|
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"train_split": "train",
|
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"valid_split": null,
|
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"add_eos_token": true,
|
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"block_size": 1024,
|
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|
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"padding": "right",
|
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"trainer": "sft",
|
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"use_flash_attention_2": false,
|
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"log": "tensorboard",
|
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"disable_gradient_checkpointing": false,
|
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"logging_steps": -1,
|
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"evaluation_strategy": "epoch",
|
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"save_total_limit": 1,
|
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"auto_find_batch_size": false,
|
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"mixed_precision": "fp16",
|
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"lr": 3e-05,
|
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"epochs": 3,
|
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"batch_size": 2,
|
23 |
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"warmup_ratio": 0.1,
|
24 |
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"gradient_accumulation": 4,
|
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"optimizer": "adamw_torch",
|
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"scheduler": "linear",
|
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"weight_decay": 0.0,
|
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"max_grad_norm": 1.0,
|
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"seed": 42,
|
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"chat_template": "none",
|
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"quantization": "int4",
|
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"target_modules": "all-linear",
|
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"merge_adapter": false,
|
34 |
+
"peft": true,
|
35 |
+
"lora_r": 16,
|
36 |
+
"lora_alpha": 32,
|
37 |
+
"lora_dropout": 0.05,
|
38 |
+
"model_ref": null,
|
39 |
+
"dpo_beta": 0.1,
|
40 |
+
"max_prompt_length": 128,
|
41 |
+
"max_completion_length": null,
|
42 |
+
"prompt_text_column": "prompt",
|
43 |
+
"text_column": "text",
|
44 |
+
"rejected_text_column": "rejected_text",
|
45 |
+
"push_to_hub": true,
|
46 |
+
"username": "Aryan-401"
|
47 |
+
}
|