Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: other
+license: mit
 library_name: peft
 tags:
 - llama-factory
@@ -30,49 +30,6 @@ Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language
 * No need of `trust_remote_code`.
 For more details, please refer to the [blog post](https://qwenlm.github.io/blog/qwen1.5/) and [GitHub repo](https://github.com/QwenLM/Qwen1.5).
 
-## 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: 7e-05
-- train_batch_size: 2
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- total_eval_batch_size: 2
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 13
-- num_epochs: 5.0
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-| :-----------: | :----: | :--: | :-------------: |
-|    0.6358     | 0.7619 |  20  |     0.5865      |
-|    0.6379     | 1.5238 |  40  |     0.5621      |
-|    0.6067     | 2.2857 |  60  |     0.5561      |
-|    0.5339     | 3.0476 |  80  |     0.5515      |
-|    0.6749     | 3.8095 | 100  |     0.5500      |
-|    0.6351     | 4.5714 | 120  |     0.5497      |
-
-
-### Framework versions
-
-- PEFT 0.10.0
-- Transformers 4.40.0
-- Pytorch 2.1.0+cu121
-- Datasets 2.14.5
-- Tokenizers 0.19.1
-
-
 ## Intended uses & limitations
 
 More information needed