End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- matthews_correlation
+model-index:
+- name: bert-base-uncased-cola-lora-epochs-10-lr-0.0005
+  results: []
+---
+
+<!-- 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. -->
+
+# bert-base-uncased-cola-lora-epochs-10-lr-0.0005
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7759
+- Matthews Correlation: 0.6347
+
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 28
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| No log        | 1.0   | 265  | 0.6135          | 0.2906               |
+| 0.4571        | 2.0   | 530  | 0.4470          | 0.4851               |
+| 0.4571        | 3.0   | 795  | 0.3926          | 0.5648               |
+| 0.2553        | 4.0   | 1060 | 0.4631          | 0.5358               |
+| 0.2553        | 5.0   | 1325 | 0.4592          | 0.5145               |
+| 0.1378        | 6.0   | 1590 | 0.8133          | 0.5608               |
+| 0.1378        | 7.0   | 1855 | 0.6745          | 0.6815               |
+| 0.081         | 8.0   | 2120 | 0.6891          | 0.6815               |
+| 0.081         | 9.0   | 2385 | 0.6823          | 0.6110               |
+| 0.0512        | 10.0  | 2650 | 0.7759          | 0.6347               |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc8a77eae18db7889d915ad4533419cbf04cc9280826de0f4b14d6c67748c91a
+oid sha256:dbadbaacd746ab95d5337e4642680eca3350d999175a6ac03b5a37636fddcfa9
 size 5384088