File size: 2,120 Bytes
6de850a 0b9771d f0793cd 6de850a 12ff78e e6d1457 fdcad46 0b9771d 6e19ef9 03906fe 5937cb0 0b9771d 6e19ef9 5937cb0 0b9771d 5937cb0 6e19ef9 31a635f 12ff78e 6de850a 3b33dda 6de850a |
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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
---
library_name: transformers
base_model: google/gemma-2b
model-index:
- name: singhjagpreet/gemma-2b_text_to_sql
results: []
inference:
parameters:
do_sample: false
max_length: 200
widget:
- text: >-
Question: What is the average number of working horses of farms with greater
than 45 total number of horses? Context: CREATE TABLE farm (Working_Horses
INTEGER, Total_Horses INTEGER)
example_title: Average horses
- text: >-
Question:What are the names of the heads who are born outside the California
state? Context: CREATE TABLE head (name VARCHAR, born_state VARCHAR)
example_title: Name of Head
- text: >-
Question: List official names of cities in descending order of population.
Context: CREATE TABLE city (Official_Name VARCHAR, Population VARCHAR)
example_title: Name of Cities
pipeline_tag: text-generation
metrics:
- bleu
- rouge
datasets:
- b-mc2/sql-create-context
license: gemma
language:
- en
tags:
- code
---
<!-- 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. -->
# gemma-2b_text_to_sql
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset .
## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 25
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2 |