Model save

README.md

@@ -6,6 +6,8 @@ tags:
 base_model: openai-community/gpt2
 datasets:
 - emotion
+metrics:
+- accuracy
 model-index:
 - name: emotion-gpt2-lora
   results: []
@@ -18,13 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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:
-- eval_loss: 0.1395
-- eval_accuracy: 0.9425
-- eval_runtime: 1.0543
-- eval_samples_per_second: 1897.017
-- eval_steps_per_second: 59.756
-- epoch: 4.0
-- step: 2000
+- Loss: 0.1289
+- Accuracy: 0.9315
 
 ## Model description
 
@@ -49,7 +46,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6663        | 1.0   | 500  | 0.2313          | 0.9165   |
+| 0.2324        | 2.0   | 1000 | 0.1677          | 0.928    |
+| 0.1747        | 3.0   | 1500 | 0.1426          | 0.9355   |
+| 0.1465        | 4.0   | 2000 | 0.1289          | 0.9315   |
+
 
 ### Framework versions