End of training

README.md

@@ -1,8 +1,11 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: 1gen23dec/newsentiment_analysis
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: newsentiment_analysis
   results: []
@@ -13,15 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # newsentiment_analysis
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [1gen23dec/newsentiment_analysis](https://huggingface.co/1gen23dec/newsentiment_analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3367
-- eval_accuracy: 0.9062
-- eval_f1: 0.9023
-- eval_runtime: 3.601
-- eval_samples_per_second: 251.598
-- eval_steps_per_second: 25.271
-- step: 0
+- Loss: 0.1467
+- Accuracy: 0.9511
+- F1: 0.9520
 
 ## Model description
 
@@ -48,9 +47,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
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runs/Jan29_17-43-32_bdfd447c9805/events.out.tfevents.1706550219.bdfd447c9805.5873.0

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runs/Jan29_17-43-32_bdfd447c9805/events.out.tfevents.1706550269.bdfd447c9805.5873.1

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