End of training

README.md

@@ -0,0 +1,65 @@
+---
+base_model: google/gemma-2b
+library_name: peft
+license: gemma
+tags:
+- base_model:adapter:google/gemma-2b
+- lora
+- transformers
+model-index:
+- name: gemma-2b-hate-classifier
+  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. -->
+
+# gemma-2b-hate-classifier
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6773
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4912        | 1.0   | 450  | 0.5118          |
+| 0.2989        | 2.0   | 900  | 0.3779          |
+| 0.0192        | 3.0   | 1350 | 0.6140          |
+| 0.0008        | 4.0   | 1800 | 0.6538          |
+| 0.1087        | 5.0   | 2250 | 0.6773          |
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.46.3
+- Pytorch 2.8.0+cu128
+- Datasets 2.17.0
+- Tokenizers 0.20.0