Commit
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Parent(s):
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SaiPavanKumarMeruga/roberta-base-lora-sarcasm-classification
Browse files- README.md +66 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- merges.txt +0 -0
- runs/Aug04_11-54-50_Sais-MBP-3.attlocal.net/events.out.tfevents.1722786893.Sais-MBP-3.attlocal.net.25797.0 +3 -0
- runs/Aug04_12-20-00_Sais-MBP-3.attlocal.net/events.out.tfevents.1722788402.Sais-MBP-3.attlocal.net.25797.1 +3 -0
- runs/Aug04_14-04-00_Sais-MBP-3.attlocal.net/events.out.tfevents.1722794641.Sais-MBP-3.attlocal.net.28745.0 +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: roberta-base
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library_name: peft
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license: mit
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metrics:
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-lora-text-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-base-lora-text-classification
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7005
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- Accuracy: {'accuracy': 0.858}
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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: 0.001
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- train_batch_size: 4
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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: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
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| No log | 1.0 | 250 | 0.6210 | {'accuracy': 0.688} |
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| 0.6692 | 2.0 | 500 | 0.5909 | {'accuracy': 0.84} |
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| 0.6692 | 3.0 | 750 | 0.5707 | {'accuracy': 0.84} |
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| 0.4899 | 4.0 | 1000 | 0.4900 | {'accuracy': 0.84} |
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| 0.4899 | 5.0 | 1250 | 0.7005 | {'accuracy': 0.858} |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.42.4
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- Pytorch 2.3.1
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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": "roberta-base",
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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": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier",
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"score"
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],
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"peft_type": "LORA",
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"r": 2,
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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_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 sha256:8eb4e7bfba8e9d8460e2a47bf693a562a8c0144f54ee87ecb9575ad2fb7310e0
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size 2670768
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merges.txt
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runs/Aug04_11-54-50_Sais-MBP-3.attlocal.net/events.out.tfevents.1722786893.Sais-MBP-3.attlocal.net.25797.0
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runs/Aug04_12-20-00_Sais-MBP-3.attlocal.net/events.out.tfevents.1722788402.Sais-MBP-3.attlocal.net.25797.1
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version https://git-lfs.github.com/spec/v1
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runs/Aug04_14-04-00_Sais-MBP-3.attlocal.net/events.out.tfevents.1722794641.Sais-MBP-3.attlocal.net.28745.0
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version https://git-lfs.github.com/spec/v1
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size 7167
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"3": {
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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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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size 5176
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vocab.json
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