Training completed

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: ICT2214Team7/RoBERTa_Test_Training
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RoBERTa_Combined_Generated_epoch_6
+  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. -->
+
+# RoBERTa_Combined_Generated_epoch_6
+
+This model is a fine-tuned version of [ICT2214Team7/RoBERTa_Test_Training](https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0005
+- Precision: 0.9960
+- Recall: 0.9980
+- F1: 0.9970
+- Accuracy: 0.9998
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 200  | 0.0052          | 0.9759    | 0.9858 | 0.9808 | 0.9984   |
+| No log        | 2.0   | 400  | 0.0028          | 0.9939    | 0.9939 | 0.9939 | 0.9993   |
+| 0.073         | 3.0   | 600  | 0.0020          | 0.9939    | 0.9939 | 0.9939 | 0.9993   |
+| 0.073         | 4.0   | 800  | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.0027        | 5.0   | 1000 | 0.0010          | 0.9980    | 0.9980 | 0.9980 | 0.9996   |
+| 0.0027        | 6.0   | 1200 | 0.0005          | 0.9960    | 0.9980 | 0.9970 | 0.9998   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a0a7683b5d966ce28fcd4e783310642e46da255ca2975fd00c3d84eb1a88c9d8
+oid sha256:b11dccdfa592bab94e638b022337a5e977e80477cbeebc9e7628fbc8879e565a
 size 326163532

runs/Jul10_14-22-55_Darius_PC/events.out.tfevents.1720592577.Darius_PC.9424.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bbd7403a50398609eb209079f76092e5f1fff75c1e0c51106a847b8bf9aaa7f6
-size 8092
+oid sha256:58f953e2005d04363d37576783a65b2af2704444a3d7851e5a4a91a654947909
+size 8918