End of training

README.md

@@ -0,0 +1,64 @@
+---
+base_model: klue/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: roberta-base-finetuned-hate_speech
+  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-base-finetuned-hate_speech
+
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8142
+- F1: 0.6357
+
+## 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: 2e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 44   | 0.8284          | 0.5900 |
+| No log        | 2.0   | 88   | 0.7911          | 0.6091 |
+| No log        | 3.0   | 132  | 0.7954          | 0.6231 |
+| No log        | 4.0   | 176  | 0.8142          | 0.6357 |
+| No log        | 5.0   | 220  | 0.8523          | 0.6227 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3337c7743e6ea867fc767458051e1f89ec0b90ccee3079647212d3114f8a1c74
+oid sha256:69bf869b586cbf935f3412da26a4ee03cfb96f84aab2316bb70ee6a97fd8d50f
 size 442505820