update model card README.md

README.md

@@ -2,10 +2,11 @@
 base_model: meta-llama/Llama-2-7b-chat-hf
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: llama-2-7b-reward-oasst1
   results: []
-library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.5659
-- eval_accuracy: 0.7458
-- eval_runtime: 435.7582
-- eval_samples_per_second: 2.04
-- eval_steps_per_second: 2.04
-- epoch: 0.7
-- step: 1750
+- Loss: 0.5713
+- Accuracy: 0.7435
 
 ## Model description
 
@@ -37,17 +33,6 @@ More information needed
 
 ## Training procedure
 
-
-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
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -61,9 +46,24 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8409        | 0.1   | 250  | 0.8243          | 0.6220   |
+| 0.6288        | 0.2   | 500  | 0.7539          | 0.6715   |
+| 0.5882        | 0.3   | 750  | 0.6792          | 0.7075   |
+| 0.7671        | 0.4   | 1000 | 0.6130          | 0.7334   |
+| 0.5782        | 0.5   | 1250 | 0.6115          | 0.7255   |
+| 0.5691        | 0.6   | 1500 | 0.5795          | 0.7413   |
+| 0.6579        | 0.7   | 1750 | 0.5774          | 0.7469   |
+| 0.6107        | 0.8   | 2000 | 0.5691          | 0.7402   |
+| 0.6255        | 0.9   | 2250 | 0.5710          | 0.7435   |
+| 0.7034        | 1.0   | 2500 | 0.5713          | 0.7435   |
+
+
 ### Framework versions
 
-- PEFT 0.5.0.dev0
 - Transformers 4.32.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.0