End of training

README.md

@@ -0,0 +1,91 @@
+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+base_model: FacebookAI/roberta-base
+model-index:
+- name: STS-Lora-Fine-Tuning-Capstone-roberta-base-filtered-137-with-higher-r-mid
+  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. -->
+
+# STS-Lora-Fine-Tuning-Capstone-roberta-base-filtered-137-with-higher-r-mid
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7478
+- Accuracy: 0.6891
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 113  | 1.0392          | 0.4551   |
+| No log        | 2.0   | 226  | 1.0228          | 0.4944   |
+| No log        | 3.0   | 339  | 0.9681          | 0.5225   |
+| No log        | 4.0   | 452  | 0.8498          | 0.6404   |
+| 0.8868        | 5.0   | 565  | 0.7953          | 0.6704   |
+| 0.8868        | 6.0   | 678  | 0.7626          | 0.6723   |
+| 0.8868        | 7.0   | 791  | 0.7913          | 0.6704   |
+| 0.8868        | 8.0   | 904  | 0.7607          | 0.6723   |
+| 0.6501        | 9.0   | 1017 | 0.7982          | 0.6873   |
+| 0.6501        | 10.0  | 1130 | 0.7419          | 0.6685   |
+| 0.6501        | 11.0  | 1243 | 0.7451          | 0.6873   |
+| 0.6501        | 12.0  | 1356 | 0.7471          | 0.6760   |
+| 0.6501        | 13.0  | 1469 | 0.7549          | 0.6816   |
+| 0.5977        | 14.0  | 1582 | 0.7364          | 0.6835   |
+| 0.5977        | 15.0  | 1695 | 0.7431          | 0.6760   |
+| 0.5977        | 16.0  | 1808 | 0.7545          | 0.6742   |
+| 0.5977        | 17.0  | 1921 | 0.7556          | 0.6873   |
+| 0.5673        | 18.0  | 2034 | 0.7427          | 0.6873   |
+| 0.5673        | 19.0  | 2147 | 0.7442          | 0.6873   |
+| 0.5673        | 20.0  | 2260 | 0.7600          | 0.6798   |
+| 0.5673        | 21.0  | 2373 | 0.7381          | 0.6854   |
+| 0.5673        | 22.0  | 2486 | 0.7480          | 0.6873   |
+| 0.5561        | 23.0  | 2599 | 0.7489          | 0.6854   |
+| 0.5561        | 24.0  | 2712 | 0.7481          | 0.6873   |
+| 0.5561        | 25.0  | 2825 | 0.7470          | 0.6873   |
+| 0.5561        | 26.0  | 2938 | 0.7530          | 0.6891   |
+| 0.5381        | 27.0  | 3051 | 0.7455          | 0.6854   |
+| 0.5381        | 28.0  | 3164 | 0.7478          | 0.6891   |
+| 0.5381        | 29.0  | 3277 | 0.7483          | 0.6891   |
+| 0.5381        | 30.0  | 3390 | 0.7478          | 0.6891   |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- 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 sha256:6c85877e73c1b4150783fad82407cce911cc7cb93626bbafcd670d8355f35e04
+oid sha256:8b8a9d47995d8de50247acd18872de2132b131745a61585d02fb8248e4ff3c0d
 size 4148452

runs/Mar28_19-51-13_fcdc58e67935/events.out.tfevents.1711655476.fcdc58e67935.625.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:49761877d690dd91021448c708ab5ae6457adeab1487e1fd28fc28afd3419c58
-size 15603
+oid sha256:22ed2f0fd7d1d2f8e49bde17199292676ebf5452c5474b05f412c74aaa48284e
+size 16280