File size: 2,903 Bytes
f2af175 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: llama2-7b-text-to-sql
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2-7b-text-to-sql
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.
It achieves the following results on the evaluation set:
- Loss: 0.4179
- Rouge Scores: {'rouge1': 0.9526993709609907, 'rouge2': 0.8978075478140412, 'rougeL': 0.9174568046902766, 'rougeLsum': 0.952706382197062}
- Bleu Scores: [0.9662302825731477, 0.9573342773221528, 0.94662296656899, 0.9353992025804378]
- Gen Len: 137.1996
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge Scores | Bleu Scores | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------:|
| 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 |
| 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 |
| 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 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2 |