End of training

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- liar
+metrics:
+- accuracy
+model-index:
+- name: liar_binaryclassifier_roberta_base
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: liar
+      type: liar
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5770065075921909
+---
+
+<!-- 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. -->
+
+# liar_binaryclassifier_roberta_base
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the liar dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6621
+- Model Preparation Time: 0.0069
+- Accuracy: 0.5770
+
+## 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-06
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|
+| 0.6934        | 1.0   | 461  | 0.6843          | 0.0069                 | 0.5553   |
+| 0.6859        | 2.0   | 922  | 0.6815          | 0.0069                 | 0.5531   |
+| 0.6774        | 3.0   | 1383 | 0.6666          | 0.0069                 | 0.5597   |
+| 0.6671        | 4.0   | 1844 | 0.6742          | 0.0069                 | 0.5748   |
+| 0.6596        | 5.0   | 2305 | 0.6621          | 0.0069                 | 0.5770   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

runs/Sep22_14-44-15_9403243e9810/events.out.tfevents.1727016257.9403243e9810.2748.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67455742c9419f7b6670967133358f6f2c7183d5e1a492a0d74fc7499e546c35
-size 8434
+oid sha256:b60d4f25a2c12e38e1c7435fc9c917abf5c70ab0dda916bfdbda7e0f307cb13a
+size 8788