update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: tiiuae/falcon-7b
 tags:
 - generated_from_trainer
 datasets:
@@ -7,7 +8,6 @@ datasets:
 model-index:
 - name: falcon_qlora_sql
   results: []
-library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 # falcon_qlora_sql
 
 This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the spider dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1772
 
 ## Model description
 
@@ -31,33 +33,40 @@ More information needed
 
 ## Training procedure
 
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: False
-- load_in_4bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: nf4
-- bnb_4bit_use_double_quant: True
-- bnb_4bit_compute_dtype: bfloat16
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 0.0002
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 22.8
+- lr_scheduler_warmup_steps: 43.7
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2917        | 0.23  | 100  | 0.3571          |
+| 0.8787        | 0.46  | 200  | 0.3685          |
+| 0.3366        | 0.68  | 300  | 0.4001          |
+| 0.2319        | 0.91  | 400  | 0.3134          |
+| 0.3005        | 1.14  | 500  | 0.3567          |
+| 0.4231        | 1.37  | 600  | 0.3052          |
+| 0.2535        | 1.6   | 700  | 0.3218          |
+| 0.2257        | 1.83  | 800  | 0.2744          |
+| 0.0771        | 2.05  | 900  | 0.2567          |
+| 0.0978        | 2.28  | 1000 | 0.2304          |
+| 0.2031        | 2.51  | 1100 | 0.2236          |
+| 0.2471        | 2.74  | 1200 | 0.2431          |
+| 0.1514        | 2.97  | 1300 | 0.1897          |
+
+
 ### Framework versions
 
-- PEFT 0.4.0.dev0
 - Transformers 4.31.0.dev0
-- Pytorch 2.0.1+cu118
+- Pytorch 2.0.1+cu117
 - Datasets 2.13.1
 - Tokenizers 0.13.3