update model card README.md

README.md

@@ -10,7 +10,6 @@ metrics:
 model-index:
 - name: Llama-2-7b-hf-finetuned-mrpc-v0.4
   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: 0.5492
-- Accuracy: 0.7402
-- F1: 0.8251
+- Loss: 0.4030
+- Accuracy: 0.8407
+- F1: 0.8862
 
 ## Model description
 
@@ -38,17 +37,6 @@ 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:
@@ -58,22 +46,28 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 12
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 230  | 0.6542          | 0.6446   | 0.7695 |
-| No log        | 2.0   | 460  | 0.5938          | 0.6912   | 0.7968 |
-| 0.6489        | 3.0   | 690  | 0.5694          | 0.7230   | 0.8151 |
-| 0.6489        | 4.0   | 920  | 0.5503          | 0.7230   | 0.8138 |
-| 0.5299        | 5.0   | 1150 | 0.5492          | 0.7402   | 0.8251 |
+| Training Loss | Epoch | Step | Accuracy | F1     | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|
+| No log        | 1.0   | 230  | 0.6446   | 0.7695 | 0.6542          |
+| No log        | 2.0   | 460  | 0.6912   | 0.7968 | 0.5938          |
+| 0.6489        | 3.0   | 690  | 0.7230   | 0.8151 | 0.5694          |
+| 0.6489        | 4.0   | 920  | 0.7230   | 0.8138 | 0.5503          |
+| 0.5299        | 5.0   | 1150 | 0.7402   | 0.8251 | 0.5492          |
+| 0.5299        | 6.0   | 1380 | 0.4880   | 0.7794 | 0.8432          |
+| 0.4687        | 7.0   | 1610 | 0.4559   | 0.8064 | 0.8663          |
+| 0.4687        | 8.0   | 1840 | 0.4298   | 0.8186 | 0.875           |
+| 0.374         | 9.0   | 2070 | 0.4210   | 0.8284 | 0.8818          |
+| 0.374         | 10.0  | 2300 | 0.3953   | 0.8456 | 0.8916          |
+| 0.3096        | 11.0  | 2530 | 0.4074   | 0.8431 | 0.8897          |
+| 0.3096        | 12.0  | 2760 | 0.4030   | 0.8407 | 0.8862          |
 
 
 ### Framework versions
 
-- PEFT 0.4.0
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5