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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-hf |
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model-index: |
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- name: llama2-7b-text-to-sql |
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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-text-to-sql |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4179 |
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- Rouge Scores: {'rouge1': 0.9526993709609907, 'rouge2': 0.8978075478140412, 'rougeL': 0.9174568046902766, 'rougeLsum': 0.952706382197062} |
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- Bleu Scores: [0.9662302825731477, 0.9573342773221528, 0.94662296656899, 0.9353992025804378] |
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- Gen Len: 137.1996 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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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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| 0.4199 | 1.0 | 4800 | 0.4083 | {'rouge1': 0.9515485575412006, 'rouge2': 0.8969346526448001, 'rougeL': 0.9158914697649283, 'rougeLsum': 0.9515858775802964} | [0.9648385943306861, 0.9555007745625858, 0.9446156319150308, 0.9332866028488176] | 137.1996 | |
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| 0.3292 | 2.0 | 9600 | 0.3933 | {'rouge1': 0.9529916925938159, 'rouge2': 0.8991327462278231, 'rougeL': 0.9182485534934295, 'rougeLsum': 0.9530038043530137} | [0.9663304534733925, 0.9575607481530943, 0.9470553639271937, 0.936060216085945] | 137.1996 | |
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| 0.2569 | 3.0 | 14400 | 0.4179 | {'rouge1': 0.9526993709609907, 'rouge2': 0.8978075478140412, 'rougeL': 0.9174568046902766, 'rougeLsum': 0.952706382197062} | [0.9662302825731477, 0.9573342773221528, 0.94662296656899, 0.9353992025804378] | 137.1996 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
