End of training
Browse files- README.md +55 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: bigscience-bloom-rail-1.0
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base_model: bigscience/bloomz-3b
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tags:
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- generated_from_trainer
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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/bloomz-3b](https://huggingface.co/bigscience/bloomz-3b) 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: 0.001
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- train_batch_size: 6
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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: 24
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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: 100
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- training_steps: 100
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### Training results
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "bigscience/bloomz-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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"lora_alpha": 32,
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"lora_dropout": 0.05,
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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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"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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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:57778654d4f93cb5c0f1dcebc0c2de63b59e220c9ff9d4ee8b712d54faff1808
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size 19683045
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:961ad255372a75ef55021829d307224b8234df9d19227401294c17a38be71f80
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size 4027
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