End of training
Browse files- README.md +11 -10
- adapter_config.json +5 -3
- adapter_model.safetensors +2 -2
- runs/May28_02-50-04_8ac7dcedda8d/events.out.tfevents.1716864618.8ac7dcedda8d.217.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +16 -1
- tokenizer_config.json +17 -1
- training_args.bin +2 -2
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:
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [
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## Model description
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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: 0.03
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- training_steps:
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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.
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 0.
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---
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license: unknown
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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: tiiuae/falcon-11B
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model-index:
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- name: falcon2_guanaco
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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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+
# falcon2_guanaco
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This model is a fine-tuned version of [tiiuae/falcon-11B](https://huggingface.co/tiiuae/falcon-11B) on an unknown dataset.
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## Model description
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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: 0.03
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+
- training_steps: 500
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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 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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": null,
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"base_model_name_or_path": "
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"bias": "none",
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"loftq_config": {},
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"revision": null,
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"target_modules": [
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"query_key_value",
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"dense_4h_to_h",
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"dense",
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"dense_h_to_4h"
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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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"bias": "none",
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"target_modules": [
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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"dense_4h_to_h"
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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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runs/May28_02-50-04_8ac7dcedda8d/events.out.tfevents.1716864618.8ac7dcedda8d.217.0
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special_tokens_map.json
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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