Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+license: mit
+base_model: FacebookAI/roberta-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # EMOTION-AI
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4380
-- Accuracy: 0.5666
+- Loss: 2.1954
+- Accuracy: 0.4259
 
 ## Model description
 
@@ -38,12 +38,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.8202        | 0.9986 | 542  | 1.4839          | 0.5604   |
-| 1.3272        | 1.9972 | 1084 | 1.4380          | 0.5666   |
+| No log        | 0.9982 | 271  | 2.3231          | 0.3937   |
+| 2.4386        | 1.9963 | 542  | 2.1954          | 0.4259   |
 
 
 ### Framework versions