update model card README.md

README.md

@@ -9,15 +9,14 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: DTNLS/test-NERv3
+- name: test-NERv3
   results: []
-library_name: peft
 ---
 
 <!-- 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. -->
 
-# DTNLS/test-NERv3
+# test-NERv3
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
@@ -41,17 +40,6 @@ 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: True
-- bnb_4bit_compute_dtype: float16
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -73,7 +61,6 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.4.0
 - Transformers 4.32.0.dev0
 - Pytorch 2.0.0
 - Datasets 2.12.0