Model save

README.md

@@ -4,10 +4,6 @@ license: mit
 base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- precision
-- recall
 model-index:
 - name: finetuning_test
   results: []
@@ -16,15 +12,10 @@ model-index:
 <!-- 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. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/abson-/twitter_sentiment_small/runs/reuhw38z)
 # finetuning_test
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6970
-- Accuracy: 0.5
-- F1-score: 0.6667
-- Precision: 0.5
-- Recall: 1.0
 
 ## Model description
 
@@ -44,30 +35,14 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
-| 0.7485        | 0.1   | 1    | 0.6990          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6785        | 0.2   | 2    | 0.6984          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6803        | 0.3   | 3    | 0.6982          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6517        | 0.4   | 4    | 0.6983          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.7254        | 0.5   | 5    | 0.6980          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6979        | 0.6   | 6    | 0.6978          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.7064        | 0.7   | 7    | 0.6975          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6709        | 0.8   | 8    | 0.6973          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.7092        | 0.9   | 9    | 0.6971          | 0.5      | 0.6667   | 0.5       | 1.0    |
-| 0.6975        | 1.0   | 10   | 0.6970          | 0.5      | 0.6667   | 0.5       | 1.0    |
-
-
 ### Framework versions
 
 - Transformers 4.44.2