Upload 17 files
Browse files- TinyLlama-finetuned-multi-label/README.md +46 -0
- TinyLlama-finetuned-multi-label/adapter_config.json +34 -0
- TinyLlama-finetuned-multi-label/adapter_model.safetensors +3 -0
- TinyLlama-finetuned-multi-label/autotrain-data/dataset_dict.json +1 -0
- TinyLlama-finetuned-multi-label/autotrain-data/train/cache-76515f80cc8ad650.arrow +3 -0
- TinyLlama-finetuned-multi-label/autotrain-data/train/data-00000-of-00001.arrow +3 -0
- TinyLlama-finetuned-multi-label/autotrain-data/train/dataset_info.json +12 -0
- TinyLlama-finetuned-multi-label/autotrain-data/train/state.json +13 -0
- TinyLlama-finetuned-multi-label/autotrain-data/validation/data-00000-of-00001.arrow +3 -0
- TinyLlama-finetuned-multi-label/autotrain-data/validation/dataset_info.json +12 -0
- TinyLlama-finetuned-multi-label/autotrain-data/validation/state.json +13 -0
- TinyLlama-finetuned-multi-label/special_tokens_map.json +30 -0
- TinyLlama-finetuned-multi-label/tokenizer.json +0 -0
- TinyLlama-finetuned-multi-label/tokenizer.model +3 -0
- TinyLlama-finetuned-multi-label/tokenizer_config.json +43 -0
- TinyLlama-finetuned-multi-label/training_args.bin +3 -0
- TinyLlama-finetuned-multi-label/training_params.json +49 -0
TinyLlama-finetuned-multi-label/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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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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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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TinyLlama-finetuned-multi-label/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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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": 0.0,
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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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"gate_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"down_proj",
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"up_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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TinyLlama-finetuned-multi-label/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 50503544
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TinyLlama-finetuned-multi-label/autotrain-data/dataset_dict.json
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{"splits": ["train", "validation"]}
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TinyLlama-finetuned-multi-label/autotrain-data/train/cache-76515f80cc8ad650.arrow
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TinyLlama-finetuned-multi-label/autotrain-data/train/dataset_info.json
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TinyLlama-finetuned-multi-label/autotrain-data/train/state.json
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TinyLlama-finetuned-multi-label/autotrain-data/validation/data-00000-of-00001.arrow
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TinyLlama-finetuned-multi-label/autotrain-data/validation/dataset_info.json
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TinyLlama-finetuned-multi-label/special_tokens_map.json
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}
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}
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TinyLlama-finetuned-multi-label/tokenizer.json
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TinyLlama-finetuned-multi-label/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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TinyLlama-finetuned-multi-label/tokenizer_config.json
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},
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},
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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": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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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": "<unk>",
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"use_default_system_prompt": false
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}
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TinyLlama-finetuned-multi-label/training_args.bin
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version https://git-lfs.github.com/spec/v1
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TinyLlama-finetuned-multi-label/training_params.json
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{
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"model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"project_name": "TinyLlama-finetuned-aksh",
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"log": "none",
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"disable_gradient_checkpointing": false,
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"auto_find_batch_size": true,
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"mixed_precision": "fp16",
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"lr": 0.0003,
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"batch_size": 2,
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"warmup_ratio": 0.1,
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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": "tokenizer",
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"quantization": "int4",
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"target_modules": "all-linear",
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"merge_adapter": false,
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"peft": true,
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"lora_r": 16,
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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38 |
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|
39 |
+
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40 |
+
"max_prompt_length": 128,
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41 |
+
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42 |
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"prompt_text_column": "autotrain_prompt",
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43 |
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"text_column": "autotrain_text",
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44 |
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"rejected_text_column": "autotrain_rejected_text",
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45 |
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46 |
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47 |
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48 |
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"unsloth": false
|
49 |
+
}
|