TanviGupta
commited on
Commit
·
db1b21c
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Parent(s):
edd443c
End of training
Browse files- README.md +59 -0
- adapter_config.json +30 -0
- adapter_model.safetensors +3 -0
- runs/Dec25_14-41-51_ip-172-31-28-206/events.out.tfevents.1703515347.ip-172-31-28-206.3823.0 +3 -0
- runs/Dec25_15-07-08_ip-172-31-28-206/events.out.tfevents.1703516840.ip-172-31-28-206.4585.0 +3 -0
- runs/Dec27_00-11-34_ip-172-31-28-206/events.out.tfevents.1703635992.ip-172-31-28-206.1706.0 +3 -0
- runs/Dec27_00-14-49_ip-172-31-28-206/events.out.tfevents.1703636169.ip-172-31-28-206.1706.1 +3 -0
- runs/Jan02_20-24-33_ip-172-31-28-206/events.out.tfevents.1704227162.ip-172-31-28-206.1729.0 +3 -0
- runs/Jan03_06-18-41_ip-172-31-28-206/events.out.tfevents.1704262731.ip-172-31-28-206.2007.0 +3 -0
- runs/Jan04_04-41-06_ip-172-31-28-206/events.out.tfevents.1704343289.ip-172-31-28-206.2082.0 +3 -0
- runs/Jan04_04-52-07_ip-172-31-28-206/events.out.tfevents.1704343935.ip-172-31-28-206.2324.0 +3 -0
- runs/Jan04_05-31-53_ip-172-31-28-206/events.out.tfevents.1704346320.ip-172-31-28-206.3755.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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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: mistralai/Mistral-7B-v0.1
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model-index:
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- name: results
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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
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 1
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### Training results
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### Framework versions
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- PEFT 0.7.2.dev0
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.1+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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": "mistralai/Mistral-7B-v0.1",
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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": 16,
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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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"k_proj",
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"v_proj",
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"q_proj",
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"o_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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adapter_model.safetensors
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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{
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"sp_model_kwargs": {},
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}
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training_args.bin
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