End of training

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+base_model: albert-base-v2
+model-index:
+- name: NLI-Lora-Fine-Tuning-ClearFinal
+  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. -->
+
+# NLI-Lora-Fine-Tuning-ClearFinal
+
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1037
+- Accuracy: 0.3615
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 32   | 1.1196          | 0.3187   |
+| No log        | 2.0   | 64   | 1.1060          | 0.3483   |
+| No log        | 3.0   | 96   | 1.1037          | 0.3615   |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b1d8ed93fd203c14152e5af554ff69cea6ddfd3169084a69ea6bd3637750aba
+oid sha256:96176000d86064d50d0a3f9ed7b8852db47724a99fdd5773b5c9514f7c9ec91a
 size 22388

runs/Mar15_14-33-37_5fc8aeb7f93f/events.out.tfevents.1710513227.5fc8aeb7f93f.1248.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff296bde6599ad7d407e0160d861d499d96df238ced0c05f4c4b0dc28e540d36
-size 5552
+oid sha256:cef207dc50598ef2a31346d2589727881d7222398371178759b9a361191f0123
+size 6217