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Browse files- README.md +71 -1
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
README.md
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---
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-
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---
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---
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library_name: peft
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base_model: mistralai/Mistral-7B-v0.1
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---
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# Model Card for Model ID
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Trained with [Ludwig.ai](https://ludwig.ai) and [Prdibase](https://predibase.com)!
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Given a passage from a news report generates a headline.
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Trained on: https://huggingface.co/datasets/JulesBelveze/tldr_news
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## Model Details
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### Model Description
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Ludwig config (v0.9.3):
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```yaml
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model_type: llm
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input_features:
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- name: prompt
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type: text
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preprocessing:
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max_sequence_length: null
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column: prompt
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output_features:
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- name: headline
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type: text
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preprocessing:
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max_sequence_length: null
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column: headline
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prompt:
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template: >-
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The following passage is content from a news report. Please summarize this
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passage in one sentence or less.
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Passage: {content}
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Summary:
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preprocessing:
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split:
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type: fixed
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column: split
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global_max_sequence_length: 2048
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adapter:
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type: lora
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generation:
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max_new_tokens: 64
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trainer:
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type: finetune
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epochs: 3
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optimizer:
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type: paged_adam
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batch_size: 1
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eval_steps: 100
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learning_rate: 0.0002
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eval_batch_size: 2
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steps_per_checkpoint: 1000
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learning_rate_scheduler:
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decay: cosine
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warmup_fraction: 0.03
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gradient_accumulation_steps: 16
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enable_gradient_checkpointing: true
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base_model: mistralai/Mistral-7B-v0.1
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quantization:
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bits: 4
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```
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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": 8,
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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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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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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:d1bb49c6636b54f10d6c7676dbb8ec96897cf6c283d49a17f5ea89585c248972
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size 13648432
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