Timmyafolami
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Commit
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Parent(s):
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End of training
Browse files- README.md +60 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- merges.txt +0 -0
- runs/Jul17_18-32-08_380ea8d1fcb3/events.out.tfevents.1721241993.380ea8d1fcb3.35.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- training_args.bin +3 -0
- vocab.json +0 -0
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: peft_phi_2
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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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# peft_phi_2
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2557
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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: 0.005
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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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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| 4.1404 | 1.0 | 263 | 4.2557 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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": 32,
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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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"k_proj",
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"dense",
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"v_proj",
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"q_proj"
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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 sha256:399e63143ffdd82e6fc1603e1470ba334150846db4c5b301e82eac210c0d6c41
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size 41977360
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added_tokens.json
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merges.txt
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See raw diff
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runs/Jul17_18-32-08_380ea8d1fcb3/events.out.tfevents.1721241993.380ea8d1fcb3.35.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fc50866178e8412c8da8a5a8b16e80f538e67651b209a604622c8f30884b256
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size 8731
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer_config.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:addfd9a532679b84b78eb2d8600b6a5d64051cbb2b453b7280c0686ba17fa3f5
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3 |
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size 5112
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vocab.json
ADDED
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|
|