update model card README.md

README.md

@@ -1,20 +1,72 @@
 ---
-library_name: peft
+license: apache-2.0
+base_model: tiiuae/falcon-7b
+tags:
+- generated_from_trainer
+datasets:
+- spider
+model-index:
+- name: falcon_qlora_sql_r2
+  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. -->
+
+# falcon_qlora_sql_r2
+
+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: 0.1735
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
 ## Training procedure
 
+### Training hyperparameters
 
-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
-### Framework versions
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- 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: 43.7
+- num_epochs: 3
+
+### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2993        | 0.23  | 100  | 0.2863          |
+| 0.8003        | 0.46  | 200  | 0.3358          |
+| 0.1872        | 0.68  | 300  | 0.2424          |
+| 0.1267        | 0.91  | 400  | 0.2362          |
+| 0.2214        | 1.14  | 500  | 0.2564          |
+| 0.2885        | 1.37  | 600  | 0.2187          |
+| 0.1654        | 1.6   | 700  | 0.1988          |
+| 0.1633        | 1.83  | 800  | 0.2062          |
+| 0.0381        | 2.05  | 900  | 0.1868          |
+| 0.0633        | 2.28  | 1000 | 0.1767          |
+| 0.163         | 2.51  | 1100 | 0.1861          |
+| 0.1718        | 2.74  | 1200 | 0.1875          |
+| 0.1743        | 2.97  | 1300 | 0.1854          |
+
+
+### Framework versions
 
-- PEFT 0.4.0.dev0
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3