DrishtiSharma
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End of training
Browse files- README.md +70 -0
- adapter_config.json +27 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -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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datasets:
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- patent-classification
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metrics:
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- accuracy
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base_model: roberta-large
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model-index:
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- name: roberta-large-flash-attention-2-lora-patent-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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# roberta-large-flash-attention-2-lora-patent-classification
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the patent-classification dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8395
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- Accuracy: 0.6304
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- Precision Macro: 0.6136
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- Recall Macro: 0.5995
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- F1-score Macro: 0.5984
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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: 6
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- eval_batch_size: 4
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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: cosine
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- num_epochs: 3
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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 | Accuracy | Precision Macro | Recall Macro | F1-score Macro |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|:--------------:|
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| 0.7566 | 1.0 | 4167 | 0.9131 | 0.5692 | 0.6231 | 0.5423 | 0.5631 |
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| 0.6974 | 2.0 | 8334 | 0.8428 | 0.6174 | 0.6169 | 0.5910 | 0.5942 |
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| 0.7219 | 3.0 | 12501 | 0.8395 | 0.6304 | 0.6136 | 0.5995 | 0.5984 |
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### Framework versions
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- PEFT 0.7.2.dev0
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.2.dev0
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- Tokenizers 0.15.0
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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": "roberta-large",
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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": 128,
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"lora_dropout": 0.1,
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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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"query",
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"value"
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],
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"task_type": "SEQ_CLS",
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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 sha256:20b0336c319bc589e9462f42d5c9ef4da8aa99e5fc999024eca138990e03c993
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size 10541212
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:46338800b6b20cd70bd1a903b363f6e7286e6e5f6f9182eae7e1a7b80099155d
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size 4792
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