Model save

README.md

@@ -1,13 +1,66 @@
----
-language:
-- en
-license: apache-2.0
-library_name: peft
-datasets:
-- dair-ai/emotion
-metrics:
-- accuracy
-pipeline_tag: text-classification
----
-# Model Card for Model ID
+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai-community/gpt2
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: emotion-gpt2-lora
+  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. -->
+
+# emotion-gpt2-lora
+
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1494
+- Accuracy: 0.939
+
+## 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: 0.0005
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7467        | 1.0   | 500  | 0.2384          | 0.914    |
+| 0.2357        | 2.0   | 1000 | 0.1689          | 0.9365   |
+| 0.1786        | 3.0   | 1500 | 0.1494          | 0.939    |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0
+- Datasets 2.19.0
+- Tokenizers 0.19.1