Instructions to use enriquesaou/phi2_mrqa_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use enriquesaou/phi2_mrqa_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "enriquesaou/phi2_mrqa_v2") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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---
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license: mit
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: microsoft/phi-2
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model-index:
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- name: phi2_mrqa_v2
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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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# phi2_mrqa_v2
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1123
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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: 2e-05
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- train_batch_size: 1
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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: 4
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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_ratio: 0.03
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- training_steps: 800
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5938 | 0.5 | 100 | 1.2202 |
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| 1.2563 | 1.0 | 200 | 1.1830 |
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| 1.2218 | 1.5 | 300 | 1.1568 |
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| 1.1537 | 2.0 | 400 | 1.1370 |
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| 1.1376 | 2.5 | 500 | 1.1254 |
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| 1.2026 | 3.0 | 600 | 1.1177 |
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| 1.1269 | 3.5 | 700 | 1.1137 |
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| 1.1692 | 4.0 | 800 | 1.1123 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.1+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": "microsoft/phi-2",
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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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"layer_replication": null,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"fc2",
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"fc1",
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"Wqkv"
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:992d45cdfc769c00e16257aad6c088d041886cd33b99e8ee7c102e0883f25667
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size 104873776
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runs/May11_17-52-31_456546ff5220/events.out.tfevents.1715449952.456546ff5220.1987.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8df0d2a1e7a84fa379e0c1ca85b0a7f39ab531d951e5518760ea80477b9c744a
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size 11323
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d91a3583140fbbc1508e9cc3228928b73585fe6824d7b1b961c1440df452532
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size 5112
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