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engrzulqarnain/code-llama-2-7b-5e-0.1-new_data_pinescript-indicators
Browse files- README.md +56 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- runs/Mar07_13-07-33_9c3278334803/events.out.tfevents.1709817021.9c3278334803.267.0 +3 -0
- runs/Mar07_13-11-09_9c3278334803/events.out.tfevents.1709817260.9c3278334803.267.1 +3 -0
- runs/Mar07_13-16-22_9c3278334803/events.out.tfevents.1709817394.9c3278334803.8654.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: NousResearch/CodeLlama-7b-hf
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model-index:
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- name: results_code_llama-5e-0.1_new_data
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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_code_llama-5e-0.1_new_data
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This model is a fine-tuned version of [NousResearch/CodeLlama-7b-hf](https://huggingface.co/NousResearch/CodeLlama-7b-hf) on an unknown 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: 0.0002
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- train_batch_size: 1
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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: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5
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### Training results
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "NousResearch/CodeLlama-7b-hf",
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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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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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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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"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:accc47b576e4edec0251811f13e86e7977b8da0521af03b7f376e1b7ab933bf5
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size 33571624
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runs/Mar07_13-07-33_9c3278334803/events.out.tfevents.1709817021.9c3278334803.267.0
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runs/Mar07_13-11-09_9c3278334803/events.out.tfevents.1709817260.9c3278334803.267.1
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runs/Mar07_13-16-22_9c3278334803/events.out.tfevents.1709817394.9c3278334803.8654.0
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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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}
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}
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tokenizer.json
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See raw diff
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tokenizer.model
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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": true,
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"added_tokens_decoder": {
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"tokenizer_class": "LlamaTokenizer",
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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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