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--- |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: NousResearch/Llama-2-7b-chat-hf |
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model-index: |
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- name: llama2-7b-chat-hf-mental-health |
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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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# llama2-7b-chat-hf-mental-health |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co./NousResearch/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1739 |
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- Rouge Scores: {'rouge1': 0.9084397097988796, 'rouge2': 0.8277762468999725, 'rougeL': 0.5895858205528516, 'rougeLsum': 0.9084397097988796} |
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- Bleu Scores: [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903] |
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- Gen Len: 2048.0 |
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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: 0.0002 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge Scores | Bleu Scores | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:| |
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| 2.1953 | 1.0 | 1 | 2.2184 | {'rouge1': 0.9199491740787802, 'rouge2': 0.8318809005083514, 'rougeL': 0.5854056997640226, 'rougeLsum': 0.9199491740787802} | [0.8715254358896543, 0.8659211417516524, 0.8510857228959539, 0.833791158779687] | 2048.0 | |
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| 2.0231 | 2.0 | 2 | 2.1936 | {'rouge1': 0.9096744612563045, 'rouge2': 0.8254608823259653, 'rougeL': 0.5872535534158643, 'rougeLsum': 0.9096744612563045} | [0.8550666362510422, 0.8491213000075178, 0.834566911154976, 0.8177171754641129] | 2048.0 | |
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| 1.932 | 3.0 | 3 | 2.1790 | {'rouge1': 0.9083394562821455, 'rouge2': 0.8271173984934778, 'rougeL': 0.5857825128581924, 'rougeLsum': 0.9083394562821455} | [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903] | 2048.0 | |
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| 1.8681 | 4.0 | 4 | 2.1739 | {'rouge1': 0.9084397097988796, 'rouge2': 0.8277762468999725, 'rougeL': 0.5895858205528516, 'rougeLsum': 0.9084397097988796} | [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903] | 2048.0 | |
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### Framework versions |
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- PEFT 0.9.1.dev0 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.1.dev0 |
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- Tokenizers 0.15.2 |
