end of training 3 epochs

README.md

@@ -1,32 +1,15 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilbert-base-cased
 tags:
 - generated_from_trainer
-datasets:
-- tweet_eval
 metrics:
 - precision
 - recall
 model-index:
 - name: bert-emotion
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: tweet_eval
-      type: tweet_eval
-      config: emotion
-      split: validation
-      args: emotion
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.7412691902027423
-    - name: Recall
-      type: recall
-      value: 0.7200253439873575
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-emotion
 
-This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the tweet_eval dataset.
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2007
-- Precision: 0.7413
-- Recall: 0.7200
-- Fscore: 0.7268
+- Loss: 1.0958
+- Precision: 0.7192
+- Recall: 0.7219
+- Fscore: 0.7200
 
 ## Model description
 
@@ -62,7 +45,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use OptimizerNames.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: 3
 
@@ -70,14 +53,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Fscore |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.8416        | 1.0   | 815  | 0.7683          | 0.7000    | 0.7141 | 0.7062 |
-| 0.5465        | 2.0   | 1630 | 0.8561          | 0.7640    | 0.6735 | 0.6979 |
-| 0.2747        | 3.0   | 2445 | 1.2007          | 0.7413    | 0.7200 | 0.7268 |
+| 0.8487        | 1.0   | 815  | 0.9013          | 0.6936    | 0.6375 | 0.6462 |
+| 0.5456        | 2.0   | 1630 | 0.9633          | 0.7383    | 0.7153 | 0.7253 |
+| 0.2589        | 3.0   | 2445 | 1.0958          | 0.7192    | 0.7219 | 0.7200 |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

model.safetensors

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runs/Apr15_20-09-13_8121eb72c779/events.out.tfevents.1744747770.8121eb72c779.2000.0

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