dendimaki/few-shots-mistral-model-v1
Browse files- README.md +57 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- distilbert/distilbert-base-uncased-finetuned-sst-2-english/adapter_config.json +31 -0
- distilbert/distilbert-base-uncased-finetuned-sst-2-english/adapter_model.safetensors +3 -0
- runs/May08_07-44-44_a7c3a6b545b9/events.out.tfevents.1715154288.a7c3a6b545b9.975.0 +3 -0
- runs/May08_07-45-53_a7c3a6b545b9/events.out.tfevents.1715154356.a7c3a6b545b9.975.1 +3 -0
- runs/May08_07-46-30_a7c3a6b545b9/events.out.tfevents.1715154393.a7c3a6b545b9.975.2 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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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: mistralai/Mistral-7B-v0.1
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model-index:
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- name: multilabel_classification
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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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# multilabel_classification
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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: 0.0001
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- train_batch_size: 8
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 425 | 2.0765 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.1
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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": null,
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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": 8,
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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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"v_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "SEQ_CLS",
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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 sha256:3387f9fd44a401830518d3aeed044a82814ed5aaeed6c01319aab68b894eeeb3
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size 55048712
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distilbert/distilbert-base-uncased-finetuned-sst-2-english/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": null,
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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": 8,
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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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"q_proj",
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"o_proj"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"use_rslora": false
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}
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distilbert/distilbert-base-uncased-finetuned-sst-2-english/adapter_model.safetensors
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runs/May08_07-44-44_a7c3a6b545b9/events.out.tfevents.1715154288.a7c3a6b545b9.975.0
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runs/May08_07-45-53_a7c3a6b545b9/events.out.tfevents.1715154356.a7c3a6b545b9.975.1
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runs/May08_07-46-30_a7c3a6b545b9/events.out.tfevents.1715154393.a7c3a6b545b9.975.2
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special_tokens_map.json
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tokenizer.json
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See raw diff
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tokenizer.model
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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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