update model card README.md

README.md

@@ -10,7 +10,6 @@ metrics:
 model-index:
 - name: Llama-2-7b-hf-finetuned-mrpc
   results: []
-library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4479
 - Accuracy: 0.7941
 - F1: 0.8571
+- Loss: 0.4479
 
 ## Model description
 
@@ -38,27 +37,16 @@ More information needed
 
 ## Training procedure
 
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- load_in_4bit: False
-- 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: fp4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float32
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 5e-05
 - 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
-- num_epochs: 20
+- num_epochs: 10
 
 ### Training results
 
@@ -74,21 +62,20 @@ The following hyperparameters were used during training:
 | 0.5139        | 8.0   | 1840 | 0.7402   | 0.8307 | 0.4989          |
 | 0.4754        | 9.0   | 2070 | 0.7745   | 0.8435 | 0.4732          |
 | 0.4754        | 10.0  | 2300 | 0.7672   | 0.8403 | 0.4716          |
-| 0.5407        | 11.0  | 2530 | 0.4823   | 0.7598 | 0.8393          |
-| 0.5407        | 12.0  | 2760 | 0.4782   | 0.7451 | 0.8333          |
-| 0.5407        | 13.0  | 2990 | 0.4713   | 0.7451 | 0.8333          |
-| 0.4951        | 14.0  | 3220 | 0.4553   | 0.7819 | 0.8489          |
-| 0.4951        | 15.0  | 3450 | 0.4591   | 0.7745 | 0.8506          |
-| 0.4724        | 16.0  | 3680 | 0.4631   | 0.7770 | 0.8423          |
-| 0.4724        | 17.0  | 3910 | 0.4581   | 0.8015 | 0.8576          |
-| 0.4455        | 18.0  | 4140 | 0.4548   | 0.7819 | 0.8468          |
-| 0.4455        | 19.0  | 4370 | 0.4511   | 0.7819 | 0.8484          |
-| 0.4354        | 20.0  | 4600 | 0.4479   | 0.7941 | 0.8571          |
+| 0.5407        | 11.0  | 2530 | 0.7598   | 0.8393 | 0.4823          |
+| 0.5407        | 12.0  | 2760 | 0.7451   | 0.8333 | 0.4782          |
+| 0.5407        | 13.0  | 2990 | 0.7451   | 0.8333 | 0.4713          |
+| 0.4951        | 14.0  | 3220 | 0.7819   | 0.8489 | 0.4553          |
+| 0.4951        | 15.0  | 3450 | 0.7745   | 0.8506 | 0.4591          |
+| 0.4724        | 16.0  | 3680 | 0.7770   | 0.8423 | 0.4631          |
+| 0.4724        | 17.0  | 3910 | 0.8015   | 0.8576 | 0.4581          |
+| 0.4455        | 18.0  | 4140 | 0.7819   | 0.8468 | 0.4548          |
+| 0.4455        | 19.0  | 4370 | 0.7819   | 0.8484 | 0.4511          |
+| 0.4354        | 20.0  | 4600 | 0.7941   | 0.8571 | 0.4479          |
 
 
 ### Framework versions
 
-- PEFT 0.4.0
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5