update model card README.md

README.md

@@ -1,20 +1,71 @@
 ---
-library_name: peft
+tags:
+- generated_from_trainer
+model-index:
+- name: falcon-7b-ft-codeAlpaca_20k
+  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-7b-ft-codeAlpaca_20k
+
+This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7470
+
+## 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: False
-- bnb_4bit_compute_dtype: float16
-### Framework versions
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3
+
+### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7623        | 0.18  | 50   | 0.7899          |
+| 0.7985        | 0.35  | 100  | 0.7680          |
+| 0.7551        | 0.53  | 150  | 0.7570          |
+| 0.7261        | 0.71  | 200  | 0.7499          |
+| 0.8184        | 0.89  | 250  | 0.7461          |
+| 0.7067        | 1.06  | 300  | 0.7480          |
+| 0.6801        | 1.24  | 350  | 0.7463          |
+| 0.6432        | 1.42  | 400  | 0.7423          |
+| 0.7141        | 1.6   | 450  | 0.7398          |
+| 0.669         | 1.77  | 500  | 0.7383          |
+| 0.7177        | 1.95  | 550  | 0.7342          |
+| 0.6419        | 2.13  | 600  | 0.7553          |
+| 0.6395        | 2.3   | 650  | 0.7510          |
+| 0.6255        | 2.48  | 700  | 0.7498          |
+| 0.5556        | 2.66  | 750  | 0.7474          |
+| 0.6592        | 2.84  | 800  | 0.7470          |
+
+
+### Framework versions
 
-- PEFT 0.4.0.dev0
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.0
+- Tokenizers 0.13.3