End of training
Browse files- README.md +55 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- emissions.csv +2 -0
- runs/Jun26_06-37-21_ca1e4e9f9585/events.out.tfevents.1719383842.ca1e4e9f9585.3284.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
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library_name: peft
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral_lora_clm_with_added_tokens
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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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# mistral_lora_clm_with_added_tokens
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This model is a fine-tuned version of [ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16) on the None 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: 1e-05
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- train_batch_size: 4
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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: linear
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.11.2.dev0
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "LlamaForCausalLM",
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"parent_library": "transformers.models.llama.modeling_llama"
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},
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"base_model_name_or_path": "ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16",
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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": 128,
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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": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"embed_tokens",
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"lm_head",
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"v_proj"
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],
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"task_type": null,
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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:a916f20ef1df23d4b567969441f31dab5fe83a866eb324e56411d21dcb917031
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size 2278180616
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2024-06-26T06:37:53,5fec5f0f-a05d-4293-813c-b3e6dc1fc6ed,codecarbon,30.19522476196289,0.0017345122745984838,0.002259665755317045,Oman,OMN,muscat,N,,
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runs/Jun26_06-37-21_ca1e4e9f9585/events.out.tfevents.1719383842.ca1e4e9f9585.3284.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b15e1fd6fd70cf3a46129ecd5bbb567d2d5a57abcfdfe714b3b910a7f61eab4a
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size 9401
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6650b8c3af64f2353bd64c014099f1e3a6fe61150c1e559deda1baa1129a44dc
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size 5176
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