Upload model

README.md

@@ -1,67 +1,9 @@
 ---
-license: apache-2.0
-tags:
-- generated_from_trainer
-datasets:
-- bionlp2004
-metrics:
-- precision
-- recall
-- f1
-- accuracy
-model-index:
-- name: mytest
-  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. -->
-
-# mytest
-
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the bionlp2004 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1750
-- Precision: 0.7228
-- Recall: 0.7834
-- F1: 0.7519
-- Accuracy: 0.9401
-
-## Model description
-
-More information needed
-
-## 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: 0.001
-- 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: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2044        | 1.0   | 1039 | 0.1750          | 0.7228    | 0.7834 | 0.7519 | 0.9401   |
-
-
 ### Framework versions
 
-- Transformers 4.29.2
-- Pytorch 2.0.1+cu117
-- Datasets 2.12.0
-- Tokenizers 0.13.3
+
+- PEFT 0.6.0.dev0

adapter_config.json

@@ -1,14 +1,20 @@
 {
+  "alpha_pattern": {},
+  "auto_mapping": null,
   "base_model_name_or_path": "bert-base-uncased",
   "bias": "all",
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
   "lora_alpha": 16,
   "lora_dropout": 0.1,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 16,
+  "rank_pattern": {},
+  "revision": null,
   "target_modules": [
     "query",
     "value"

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b16a7695f430a295a481bb6bea09c7398e9a412c544481fe31cc8f250926209
+oid sha256:8e09b089682e6570fcdc3f2f6c1e9cd68a8980ae54377ee368776061baee8ddf
 size 2854621