charurathour
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charurathour/bloom-3b-qa
Browse files- .gitattributes +1 -0
- README.md +59 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- runs/Jan02_05-49-32_b38089fe11dc/events.out.tfevents.1704174573.b38089fe11dc.1503.0 +3 -0
- runs/Jan02_05-57-34_b38089fe11dc/events.out.tfevents.1704175063.b38089fe11dc.1503.1 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +3 -0
- tokenizer_config.json +45 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: bigscience-bloom-rail-1.0
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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: bigscience/bloom-3b
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model-index:
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- name: outputs
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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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# outputs
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This model is a fine-tuned version of [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b) 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: 0.0002
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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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- gradient_accumulation_steps: 4
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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: cosine
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- training_steps: 250
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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 0.7.2.dev0
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.0+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": "bigscience/bloom-3b",
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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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"query_key_value"
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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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version https://git-lfs.github.com/spec/v1
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size 19669752
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runs/Jan02_05-49-32_b38089fe11dc/events.out.tfevents.1704174573.b38089fe11dc.1503.0
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runs/Jan02_05-57-34_b38089fe11dc/events.out.tfevents.1704175063.b38089fe11dc.1503.1
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special_tokens_map.json
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{
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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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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